Wireless monitoring of safety helmets

• US 10,278,443 B2
• Filed: 09/15/2017
• Issued: 05/07/2019
• Est. Priority Date: 01/20/2011
• Status: Active Grant

• Current Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Original Assignee: AT&T Intellectual Property I LP (AT&T, Inc.)
• Inventors: Miller, II, Robert R.
• Primary Examiner(s): Hunnings, Travis R
• Application Number:
  US15/706,644
• Publication Number:
  US 20180000183A1
• Time in Patent Office: 599 Days
• CPC Class Codes: A42B 3/046 Means for detecting hazards or accidents
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 2562/0247 Pressure sensors
• CPC Class Codes: A61B 2562/028 Microscale sensors, e.g. electromechanical sensors [MEMS]
• CPC Class Codes: A61B 2562/04 Arrangements of multiple sensors of the same type
• CPC Class Codes: A61B 2562/043 in a linear array
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/1122 of movement trajectories
• CPC Class Codes: A61B 5/4064 Evaluating the brain A61B5/031, A61B5/369, A61B5/14553 take precedence
• CPC Class Codes: A61B 5/6803 Head-worn items, e.g. helmets, masks, headphones or goggles
• CPC Class Codes: A61B 5/6898 Portable consumer electronic devices, e.g. music players, telephones, tablet computers
• CPC Class Codes: A61B 5/7246 using correlation, e.g. template matching or determination of similarity
• CPC Class Codes: A61B 5/7264 Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems neural networks per se G06N3/00; expert systems per se G06N5/00
• CPC Class Codes: A61B 5/7282 Event detection, e.g. detecting unique waveforms indicative of a medical condition A61B5/4094, A61B5/4818, A61B5/349, A61B5/0823 take precedence
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• 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: A61B 5/747 in case of emergency, i.e. alerting emergency services
• CPC Class Codes: G08B 21/043 detecting an emergency event, e.g. a fall

Abstract

Remote monitoring of a subject wearing a sports helmet is enabled. In one aspect, an example system includes a safety helmet and a sensor integrated with the helmet for continuously gathering head acceleration force data, the head acceleration force data associated with the head movements of a subject. The system can also include a wireless transceiver coupled to the sensor for transmitting the head acceleration force data and a mobile device for receiving the head acceleration force data from the wireless transceiver. The system can further include a database engine for displaying the head acceleration force data to a user.

Claims

1. A system, comprising:

a processor; and

a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, comprising;

receiving, from a group of sensors of a device via a wireless transceiver of the device, respective biometric data representing a movement of a body and a substance corresponding to the body, wherein the body is determined to be associated with a subject identity, and wherein the device has been determined to be worn on the body; and

displaying biometric data of the respective biometric data on a time axis via a display of the system, wherein the time axis represents a time varying characteristic of the biometric data.

2. The system of claim 1, wherein the biometric data represents a stress level of the body.

3. The system of claim 1, wherein the biometric data represents a moisture content of the body.

4. The system of claim 1, wherein the biometric data represents a toxin level of the body.

5. The system of claim 1, wherein the operations further comprise:

based on the biometric data, determining whether teeth of the body have been closed together.

6. The system of claim 1, wherein operations further comprise:

based on the biometric data, determining whether an arm of the body has been cocked.

7. The system of claim 1, wherein the device has been positioned within clothing determined to be worn on the body.

8. The system of claim 1, wherein the device has been positioned within a shoe determined to be worn on a foot of the body.

9. The system of claim 1, wherein a sensor of the group of sensors corresponds to a joint of the body, and wherein the biometric data represents a joint movement of the joint.

10. The system of claim 1, wherein a sensor of the group of sensors corresponds to an appendage of the body, and wherein the biometric data represents an appendage movement of the appendage.

11. A method, comprising:

receiving, by a system comprising a processor from a wireless transceiver of a device, data corresponding to respective measurements that have been performed by a group of sensors of the device, wherein the respective measurements represent a substance corresponding to a subject and a movement of the subject; and

displaying, via a time axis, a time varying characteristic of at least a portion of the data representing the movement of the subject.

12. The method of claim 11, wherein a sensor of the group of sensors has been embedded in a skin of the subject.

13. The method of claim 11, wherein the time varying characteristic of the data represents a posturing state of the subject.

14. The method of claim 11, wherein the time varying characteristic of the data represents an emotional state of the subject.

15. The method of claim 11, wherein the time varying characteristic of the data represents a state of balance of the subject.

16. The method of claim 11, wherein the time varying characteristic of the data represents a state of gait of the subject.

17. The method of claim 11, wherein the time varying characteristic represents a state of tension in a muscle of the subject.

18. A non-transitory machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:

receiving, via a wireless transceiver of a device, data corresponding to a movement of an entity and representing a quantity of a substance corresponding to a body of the entity, wherein the data has been obtained via respective sensors of the device; and

graphically displaying a time varying characteristic of a portion of the data corresponding to the movement of the entity.

19. The non-transitory machine-readable storage medium of claim 18, wherein a sensor of the respective sensors has been determined to be attached to clothing that has been worn by the entity.

20. The non-transitory machine-readable storage medium of claim 18, wherein the operations further comprise:

based on the time varying characteristic, determining an energy expenditure of the entity relative to a period of time.