Biometric attribute anomaly detection system with adjusting notifications

• US 9,041,530 B2
• Filed: 05/04/2012
• Issued: 05/26/2015
• Est. Priority Date: 04/18/2012
• Status: Expired due to Fees

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Sprigg, Stephen A., Gardner, Richard Wayne III
• Primary Examiner(s): BLOUNT, ERIC
• Application Number:
  US13/464,087
• Publication Number:
  US 20130278414A1
• Time in Patent Office: 1,117 Days
• Field of Search: 340/539.1, 340/539.12, 340/539.13, 340/573.1, 600/300
• US Class Current: 340/539.12
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: F04C 2270/041 Controlled or regulated
• CPC Class Codes: G06F 16/2358 Change logging, detection, and notification replication G06F16/27
• CPC Class Codes: G08B 21/02 Alarms for ensuring the safety of persons
• CPC Class Codes: G08B 21/0453 worn on the body to detect health condition by physiological monitoring, e.g. electrocardiogram, temperature, breathing detecting, measuring or recording for diagnostic purposes A61B5/00
• CPC Class Codes: G08B 25/006 Alarm destination chosen according to type of event, e.g. in case of fire phone the fire service, in case of medical emergency phone the ambulance
• CPC Class Codes: G16H 10/60 for patient-specific data, e.g. for electronic patient records
• CPC Class Codes: G16H 40/67 for remote operation
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16H 50/70 for mining of medical data, e.g. analysing previous cases of other patients

Abstract

A system, methods and server for monitoring health and safety of individuals in a population and sending alert notifications when exceptions are detected include comparing biometric data obtained from the individuals to a biometric model generated for the individual through computer-learning methods. Biometric data may be gathered by wireless biometric sensor devices which transmit biometric data to receiver devices, which relay the biometric data to a server. The biometric model may be maintained in the server and include nominal and threshold biometric parameters for each individual based on biometric sensor data gathered or analyzed over a period of time. An alert may be issued by the server when an individual'"'"'s biometric data is outside a threshold in the biometric model. The transmitted alert may depend upon the nature of the exception, user settings and past notification experience. Alerts may be escalated when not answered within defined durations.

Claims

1. A method of monitoring a population of individuals for health and safety, comprising:

generating a biometric model of nominal and threshold biometric parameters for each individual of the population based on biometric sensor data obtained by one or more biometric sensors and transmitted wirelessly from a plurality of wireless biometric sensor devices which are connected to the sensors and carried by the individuals of the population;

receiving, at a server, current biometric sensor data from the plurality of wireless biometric sensor devices;

associating, in the server, the current biometric sensor data received from each of the plurality of mobile devices with a respective individual;

evaluating the current biometric sensor data for the individual using the biometric model for that individual;

determining an exception condition when the current biometric sensor data is outside of a nominal range of at least one biometric parameter for the individual;

transmitting an alert notification in response to determining the exception condition; and

updating the biometric model for the individual based on the current biometric sensor data,

wherein the biometric model for each individual is determined by the server analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of physical location of each individual.

2. The method of claim 1, wherein the biometric model for each individual is determined by the server analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of temporal conditions.

3. The method of claim 2, further comprising:

determining temporal conditions at the time the current biometric sensor data is to the server,

wherein evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in temporal conditions similar to those of the temporal conditions at the time the current biometric sensor data is transmitted to the server.

4. The method of claim 1, wherein the biometric model for each individual is determined by the server analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of scheduled activities.

5. The method of claim 4, further comprising:

determining scheduled activities for the population of individuals at the time the current biometric sensor data is transmitted to the server,

wherein evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters during activities similar to the scheduled activities at the time the current biometric sensor data is transmitted to the server.

6. The method of claim 1, wherein the biometric model for each individual is determined by the server analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of atmospheric conditions.

7. The method of claim 6, further comprising:

determining the atmospheric conditions for the population of individuals at the time the current biometric sensor data is transmitted to the server,

wherein evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in atmospheric conditions similar to those of the atmospheric conditions at the time the current biometric sensor data is transmitted to the server.

8. The method of claim 1, further comprising:

determining the physical location of the individuals in the population at the time the current biometric sensor data is transmitted to the server,

wherein evaluating the current biometric sensor data for each respective individual using the biometric model for that individual comprises comparing the current biometric sensor data for each respective individual to nominal ranges of the biometric parameters for that individual while at the physical location at the time the current biometric sensor data is transmitted to the server.

9. The method of claim 1, wherein the biometric model for each individual is determined by the server analyzing received biometric sensor data for each individual over a period of time to identify dependencies between various biometric parameters.

10. The method of claim 1, wherein updating the biometric model for the individual comprises adjusting nominal and threshold values to represent the current biometric sensor data.

11. The method of claim 1, wherein updating the biometric model for the individual comprises adjusting nominal and threshold values to represent information arising from responses to alert notifications.

12. The method of claim 1, further comprising determining an exception condition based upon determining that the current biometric sensor data describes biometric measurements that are outside a nominal range of a biometric parameter in a manner that suggests illness or injury.

13. The method of claim 1, wherein the alert notification is determined by characteristics of the exception condition.

14. The method of claim 1, wherein transmitting the alert notification comprises sending one of electronic, symbolic, or telephonic communications.

15. The method of claim 1, wherein transmitting the alert notification comprises sending communications to more than one recipient.

16. The method of claim 1, further comprising transmitting additional alert notifications in response to adjustments of alert levels based upon changes in the exception condition.

17. The method of claim 1, wherein the alert notification is determined by evaluating responses to previous alert notifications transmitted in response to previous exception conditions similar to the exception condition.

18. The method of claim 1, wherein the biometric parameters measured by the one or more biometric sensors is one or more of temperature, acceleration, pulse rate, blood pressure, blood oxygen level, blood sugar level, pH of skin, and presence of perspiration.

19. A server, comprising:

a memory; and

a server processor coupled to the memory and configured with server processor-executable instructions to perform operations comprising;

generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices which are attached to the individuals of the population and comprise one or more biometric sensors;

receiving current biometric sensor data from the plurality of wireless biometric sensor devices;

associating the current biometric sensor data received from each mobile device with a respective individual;

evaluating the current biometric sensor data for the individual using the biometric model for that individual;

determining an exception condition when the current biometric sensor data is outside of a nominal range of at least one biometric parameter for the individual;

transmitting an alert notification in response to determining the exception condition; and

updating the biometric model for the individual based on the current biometric sensor data,

wherein generating the biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of physical location of each individual.

20. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of temporal conditions.

21. The server of claim 20, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining temporal conditions at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in temporal conditions similar to those of the temporal conditions at the time the current biometric sensor data is transmitted to the server.

22. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of scheduled activities.

23. The server of claim 22, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining scheduled activities for the population of individuals at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters during activities similar to the scheduled activities at the time the current biometric sensor data is transmitted to the server.

24. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of atmospheric conditions.

25. The server of claim 24, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining the atmospheric conditions for the population of individuals at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in atmospheric conditions similar to those of the atmospheric conditions at the time the current biometric sensor data is transmitted to the server.

26. The server of claim 19, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining the physical location of the individuals in the population at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for each respective individual using the biometric model for that individual comprises comparing the current biometric sensor data for each respective individual to nominal ranges of the biometric parameters for that individual while at the physical location at the time the current biometric sensor data is transmitted to the server.

27. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to identify dependencies between various biometric parameters.

28. The server of claim 19, wherein the server processor is configured with server processor-executable instructions such that updating the biometric model for the individual comprises adjusting nominal and threshold values to represent the current biometric sensor data.

29. The server of claim 19, wherein the server processor is configured with server processor-executable instructions such that updating the biometric model for the individual comprises adjusting nominal and threshold values to represent information arising from responses to alert notifications.

30. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising determining an exception condition based upon determining that the current biometric sensor data describes biometric measurements that are outside a nominal range of a biometric parameter in a manner that suggests illness or injury.

31. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising determining the alert notification for transmission based on characteristics of the exception condition.

32. The server of claim 19, wherein the server processor is configured with server processor-executable instructions such that transmitting an alert notification in response to determining the exception condition comprises sending one of electronic, symbolic, or telephonic communications.

33. The server of claim 19, wherein the server processor is configured with server processor-executable instructions such that transmitting an alert notification in response to determining the exception condition comprises sending communications to more than one recipient.

34. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising transmitting additional alert notifications in response to adjustments of alert levels based upon changes in the exception condition.

35. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising determining the alert notification for transmission by evaluating responses to previous alert notifications transmitted in response to previous exception conditions similar to the exception condition.

36. The server of claim 19, wherein the server processor is configured with server processor-executable instructions to perform operations such that the biometric sensor data evaluated and used in updating the biometric model comprises one or more of temperature, acceleration, pulse rate, blood pressure, blood oxygen level, blood sugar level, pH of skin, and presence of perspiration.

37. A server, comprising:

means for generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices which are attached to the individuals of the population and comprise one or more biometric sensors;

means for receiving current biometric sensor data from the plurality of wireless biometric sensor devices;

means for associating the current biometric sensor data received from each mobile device with a respective individual;

means for evaluating the current biometric sensor data for the individual using the biometric model for that individual;

means for determining an exception condition when the current biometric sensor data is outside of a nominal range of at least one biometric parameter for the individual;

means for transmitting an alert notification in response to determining the exception condition; and

means for updating the biometric model for the individual based on the current biometric sensor data,

wherein the means for generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises means for analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of physical location of each individual.

38. The server of claim 37, wherein means for generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises means for analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of temporal conditions.

39. The server of claim 38, further comprising means for determining temporal conditions at the time the current biometric sensor data is transmitted to the server,

wherein means for evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises means for comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in temporal conditions similar to those of the temporal conditions at the time the current biometric sensor data is transmitted to the server.

40. The server of claim 37, wherein means for generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises means for analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of scheduled activities.

41. The server of claim 40, further comprising means for determining scheduled activities for the population of individuals at the time the current biometric sensor data is transmitted to the server,

wherein means for evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises means for comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters during activities similar to the scheduled activities at the time the current biometric sensor data is transmitted to the server.

42. The server of claim 37, wherein means for generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises means for analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of atmospheric conditions.

43. The server of claim 42, further comprising means for determining the atmospheric conditions for the population of individuals at the time the current biometric sensor data is transmitted to the server,

wherein means for evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises means for comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in atmospheric conditions similar to those of the atmospheric conditions at the time the current biometric sensor data is transmitted to the server.

44. The server of claim 37, further comprising means for determining the physical location of the individuals in the population at the time the current biometric sensor data is transmitted to the server,

wherein means for evaluating the current biometric sensor data for each respective individual using the biometric model for that individual comprises means for comparing the current biometric sensor data for each respective individual to nominal ranges of the biometric parameters for that individual while at the physical location at the time the current biometric sensor data is transmitted to the server.

45. The server of claim 37, wherein means for generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises means for analyzing received biometric sensor data for each individual over a period of time to identify dependencies between various biometric parameters.

46. The server of claim 37, wherein means for updating the biometric model for the individual comprises means for adjusting nominal and threshold values to represent the current biometric sensor data.

47. The server of claim 37, wherein means for updating the biometric model for the individual comprises means for adjusting nominal and threshold values to represent information arising from responses to alert notifications.

48. The server of claim 37, further comprising means for determining an exception condition comprises means for determining an exception condition based upon determining that the current biometric sensor data describes biometric measurements that are outside a nominal range of a biometric parameter in a manner that suggests illness or injury.

49. The server of claim 37, wherein means for determining an exception condition comprises means for using characteristics of the exception condition.

50. The server of claim 37, wherein means for transmitting an alert notification in response to determining the exception condition comprises means for sending one of electronic, symbolic, or telephonic communications.

51. The server of claim 37, wherein means for transmitting an alert notification in response to determining the exception condition comprises means for sending communications to more than one recipient.

52. The server of claim 37, further comprising means for transmitting additional alert notifications in response to adjustments of alert levels based upon changes in the exception condition.

53. The server of claim 37, further comprising means for determining the alert notification for transmission by evaluating responses to previous alert notifications transmitted in response to previous exception conditions similar to the exception condition.

54. The server of claim 37, wherein the biometric sensor data evaluated and used in updating the biometric model comprises one or more of temperature, acceleration, pulse rate, blood pressure, blood oxygen level, blood sugar level, pH of skin, and presence of perspiration.

55. A non-transitory server-readable storage medium having stored thereon server processor-executable instructions configured to cause a server processor to perform operations for monitoring a population of individuals for health and safety, the operations comprising:

generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices which are attached to the individuals of the population and comprise one or more biometric sensors;

receiving current biometric sensor data from the plurality of wireless biometric sensor devices;

associating the current biometric sensor data received from each mobile device with a respective individual;

evaluating the current biometric sensor data for the individual using the biometric model for that individual;

determining an exception condition when the current biometric sensor data is outside of a nominal range of at least one biometric parameter for the individual;

transmitting an alert notification in response to determining the exception condition; and

updating the biometric model for the individual based on the current biometric sensor data,

wherein the generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of physical location of each individual.

56. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of temporal conditions.

57. The non-transitory server-readable storage medium of claim 56, wherein:

the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising determining temporal conditions at the time the current biometric sensor data is transmitted to the server; and

the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in temporal conditions similar to those of the temporal conditions at the time the current biometric sensor data is transmitted to the server.

58. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of scheduled activities.

59. The non-transitory server-readable storage medium of claim 58, wherein:

the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising determining scheduled activities for the population of individuals at the time the current biometric sensor data is transmitted to the server; and

the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters during activities similar to the scheduled activities at the time the current biometric sensor data is transmitted to the server.

60. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of atmospheric conditions.

61. The non-transitory server-readable storage medium of claim 60, wherein:

the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising determining the atmospheric conditions for the population of individuals at the time the current biometric sensor data is transmitted to the server; and

the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in atmospheric conditions similar to those of the atmospheric conditions at the time the current biometric sensor data is transmitted to the server.

62. The non-transitory server-readable storage medium of claim 55, wherein:

the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising determining the physical location of the individuals in the population at the time the current biometric sensor data is transmitted to the server; and

the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that evaluating the current biometric sensor data for each respective individual using the biometric model for that individual comprises comparing the current biometric sensor data for each respective individual to nominal ranges of the biometric parameters for that individual while at the physical location at the time the current biometric sensor data is transmitted to the server.

63. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to identify dependencies between various biometric parameters.

64. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that updating the biometric model for the individual comprises adjusting nominal and threshold values to represent the current biometric sensor data.

65. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that updating the biometric model for the individual comprises adjusting nominal and threshold values to represent information arising from responses to alert notifications.

66. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising determining an exception condition based upon determining that the current biometric sensor data describes biometric measurements that are outside a nominal range of a biometric parameter in a manner that suggests illness or injury.

67. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising determining the alert notification for transmission based on characteristics of the exception condition.

68. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that transmitting an alert notification in response to determining the exception condition comprises sending one of electronic, symbolic, or telephonic communications.

69. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that transmitting an alert notification in response to determining the exception condition comprises sending communications to more than one recipient.

70. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising transmitting additional alert notifications in response to adjustments of alert levels based upon changes in the exception condition.

71. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations further comprising determining the alert notification for transmission by evaluating responses to previous alert notifications transmitted in response to previous exception conditions similar to the exception condition.

72. The non-transitory server-readable storage medium of claim 55, wherein the stored server processor-executable software instructions are configured to cause a server processor to perform operations such that the biometric sensor data evaluated and used in updating the biometric model comprises one or more of temperature, acceleration, pulse rate, blood pressure, blood oxygen level, blood sugar level, pH of skin, and presence of perspiration.

73. A system, comprising:

a server comprising;

a memory; and

a server processor coupled to the memory and configured with server processor-executable instructions to perform operations comprising;

generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices which are attached to the individuals of the population and comprise one or more biometric sensors;

receiving current biometric sensor data from the plurality of wireless biometric sensor devices;

associating the current biometric sensor data received from each mobile device with a respective individual;

evaluating the current biometric sensor data for the individual using the biometric model for that individual;

determining an exception condition when the current biometric sensor data is outside of a nominal range of at least one biometric parameter for the individual;

transmitting an alert notification in response to determining the exception condition; and

updating the biometric model for the individual based on the current biometric sensor data,

wherein the generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of physical location of each individual.

74. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of temporal conditions.

75. The system of claim 74, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining temporal conditions at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in temporal conditions similar to those of the temporal conditions at the time the current biometric sensor data is transmitted to the server.

76. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of scheduled activities.

77. The system of claim 76, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining scheduled activities for the population of individuals at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters during activities similar to the scheduled activities at the time the current biometric sensor data is transmitted to the server.

78. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to calculate average and threshold values for each biometric parameter as a function of atmospheric conditions.

79. The system of claim 78, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining the atmospheric conditions for the population of individuals at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for the individual using the biometric model for that individual comprises comparing the current biometric sensor data for the individual to nominal ranges of the biometric parameters for that individual in atmospheric conditions similar to those of the atmospheric conditions at the time the current biometric sensor data is transmitted to the server.

80. The system of claim 73, wherein:

the server processor is configured with server processor-executable instructions to perform operations further comprising determining the physical location of the individuals in the population at the time the current biometric sensor data is transmitted to the server; and

the server processor is configured with server processor-executable instructions such that evaluating the current biometric sensor data for each respective individual using the biometric model for that individual comprises comparing the current biometric sensor data for each respective individual to nominal ranges of the biometric parameters for that individual while at the physical location at the time the current biometric sensor data is transmitted to the server.

81. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations such that generating a biometric model of nominal and threshold biometric parameters for each individual of a population based on biometric sensor data obtained from a plurality of wireless biometric sensor devices comprises analyzing received biometric sensor data for each individual over a period of time to identify dependencies between various biometric parameters.

82. The system of claim 73, wherein the server processor is configured with server processor-executable instructions such that updating the biometric model for the individual comprises adjusting nominal and threshold values to represent the current biometric sensor data.

83. The system of claim 73, wherein the server processor is configured with server processor-executable instructions such that updating the biometric model for the individual comprises adjusting nominal and threshold values to represent information arising from responses to alert notifications.

84. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising determining an exception condition based upon determining that the current biometric sensor data describes biometric measurements that are outside a nominal range of a biometric parameter in a manner that suggests illness or injury.

85. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising determining the alert notification for transmission based on characteristics of the exception condition.

86. The system of claim 73, wherein the server processor is configured with server processor-executable instructions such that transmitting an alert notification in response to determining the exception condition comprises sending one of electronic, symbolic, or telephonic communications.

87. The system of claim 73, wherein the server processor is configured with server processor-executable instructions such that transmitting an alert notification in response to determining the exception condition comprises sending communications to more than one recipient.

88. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising transmitting additional alert notifications in response to adjustments of alert levels based upon changes in the exception condition.

89. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations further comprising determining the alert notification for transmission by evaluating responses to previous alert notifications transmitted in response to previous exception conditions similar to the exception condition.

90. The system of claim 73, wherein the server processor is configured with server processor-executable instructions to perform operations such that the biometric sensor data evaluated and used in updating the biometric model comprises one or more of temperature, acceleration, pulse rate, blood pressure, blood oxygen level, blood sugar level, pH of skin, and presence of perspiration.