Sedentary period detection utilizing a wearable electronic device
First Claim
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1. A method comprising:
- receiving by a server samples of sensor information obtained from a wearable electronic device for a plurality of moments of interest, the sensor information being generated when a user associated with the wearable electronic device performs one or more activities, the samples being metabolic equivalent of task measures that are normalized;
classifying by a processor of the server the samples for each of the moments of interest into at least one of a sedentary status and a non-sedentary status, based on comparing the samples for each of the moments of interest to a predetermined threshold;
detecting by the processor a time period for which a number of consecutive ones of the samples indicate the sedentary status;
determining by the processor whether the time period is greater than a threshold time period;
identifying by the processor that the user is in a sedentary state upon determining that the time period is greater than the threshold time period, wherein the wearable electronic device is configured to generate an electronic notification in response to the processor identifying that the user is in the sedentary state;
receiving by the processor i) data regarding a user response to the electronic notification and ii) a time of day at which the electronic notification was generated;
determining by the processor that the data regarding the user response is indicative of the electronic notification failing to modify the sedentary status; and
sending instructions to the wearable device to not generate subsequent electronic notifications within a window of time corresponding to the time of day at which the electronic notification was generated in response to determining that the data regarding the user response is indicative of the electronic notification failing to modify the sedentary status.
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Abstract
Systems and methods for determining a sedentary state of a user are described. Sensor data is collected and analyzed to calculate metabolic equivalent of task (MET) measures for a plurality of moments of interest. Based on the MET measures and a time period for which the MET measures exceed a threshold value, it is determined whether the user is in a sedentary state. If the user is in the sedentary state, the user is provided a notification to encourage the user to perform a non-sedentary activity.
529 Citations
30 Claims
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1. A method comprising:
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receiving by a server samples of sensor information obtained from a wearable electronic device for a plurality of moments of interest, the sensor information being generated when a user associated with the wearable electronic device performs one or more activities, the samples being metabolic equivalent of task measures that are normalized; classifying by a processor of the server the samples for each of the moments of interest into at least one of a sedentary status and a non-sedentary status, based on comparing the samples for each of the moments of interest to a predetermined threshold; detecting by the processor a time period for which a number of consecutive ones of the samples indicate the sedentary status; determining by the processor whether the time period is greater than a threshold time period; identifying by the processor that the user is in a sedentary state upon determining that the time period is greater than the threshold time period, wherein the wearable electronic device is configured to generate an electronic notification in response to the processor identifying that the user is in the sedentary state; receiving by the processor i) data regarding a user response to the electronic notification and ii) a time of day at which the electronic notification was generated; determining by the processor that the data regarding the user response is indicative of the electronic notification failing to modify the sedentary status; and sending instructions to the wearable device to not generate subsequent electronic notifications within a window of time corresponding to the time of day at which the electronic notification was generated in response to determining that the data regarding the user response is indicative of the electronic notification failing to modify the sedentary status. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method comprising:
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receiving by a server samples of sensor information obtained from a wearable electronic device for a plurality of moments of interest, the sensor information being generated when a user associated with the wearable electronic device performs one or more activities, the samples being metabolic equivalent of task measures that are normalized; classifying by a processor of the server a continuous set of one or more of the samples for a corresponding set of the moments of interest into a sedentary status, based on determining that; a value of each of the samples in the set is between a first threshold value and a second threshold value, the set of the moments of interest is immediately preceded by a first moment of interest for which a status of the user is classified as sedentary, the set of the moments of interest is immediately followed by a second moment of interest for which the status of the user is classified as sedentary, and the number of the one or more samples is less than a threshold number of samples; detecting by the processor a time period for which a number of consecutive ones of the samples indicate the sedentary status; determining by the processor whether the time period is greater than a threshold time period; and identifying by the processor that the user is in a sedentary state upon determining that the time period is greater than the threshold time period.
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16. A system comprising:
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a communication device configured to receive samples of sensor information obtained from a wearable electronic device for a plurality of moments of interest, the sensor information being generated when a user associated with the wearable electronic device performs one or more activities, the samples being metabolic equivalent of task measures that are normalized; and a processor coupled to the communication device, the processor configured to classify the samples for each of the moments of interest into at least one of a sedentary status and a non-sedentary status, based on comparing the samples for each of the moments of interest to a predetermined threshold, the processor configured to detect a time period for which a number of consecutive ones of the samples indicate the sedentary status; the processor configured to determine whether the time period is greater than a threshold time period; the processor configured to identify that the user is in a sedentary state upon determining that the time period is greater than the threshold time period, wherein the wearable electronic device is configured to generate an electronic notification in response to the processor identifying that the user is in the sedentary state, the processor configured to receive i) data regarding a user response to the electronic notification and ii) a time of day at which the electronic notification was generated; the processor configured to determine that the data regarding the user response is indicative of the electronic notification failing to modify the sedentary status; and the processor configured to send instructions to the wearable device via the communication device to not generate subsequent electronic notifications within a window of time corresponding to the time of day at which the electronic notification was generated in response to determining that the data regarding the user response is indicative of the electronic notification failing to modify the sedentary status. - View Dependent Claims (17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A system comprising:
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a communication device configured to receive samples of sensor information obtained from a wearable electronic device for a plurality of moments of interest, the sensor information being generated when a user associated with the wearable electronic device performs one or more activities, the samples being metabolic equivalent of task measures that are normalized; a processor coupled to the communication device, the processor configured to classify continuous set of one or more of the samples for a corresponding set of the moments of interest into a sedentary status, based on a determination that; a value of each of the samples in the set is between a first threshold value and a second threshold value, the set of the moments of interest is immediately preceded by a first moment of interest for which a status of the user is classified as sedentary, the set of the moments of interest is immediately followed by a second moment of interest for which the status of the user is classified as sedentary, and the number of the one or more samples is less than a threshold number of samples, the processor configured to detect a time period for which a number of consecutive ones of the samples indicate the sedentary status, the processor configured to determine whether the time period is greater than a threshold time period, and the processor configured to identify that the user is in a sedentary state upon determining that the time period is greater than the threshold time period.
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Specification