GENERAL HEALTH AND WELLNESS MANAGEMENT METHOD AND APPARATUS FOR A WELLNESS APPLICATION USING DATA ASSOCIATED WITH DATA-CAPABLE BAND
Health and wellness management techniques and devices are described including receiving data representing an activity profile defining parameters upon which a target score is established, acquiring sensor data representing subsets of acquired parameters based on sensors disposed in a wearable computing device, including an accelerometer configured to provide motion data as a portion of the sensor data, determining values for the subsets of the acquired parameters based on reference values for the parameters set forth in the activity profile, calculating an activity score based on the values, the activity score representing an attained portion of health-related activities, detecting a difference between the activity score and the target score, the difference exceeding a threshold, modifying a rate at which the activity score accrues as a function of the difference, and causing presentation of a representation of an overall score.
1 . A method comprising:
receiving data representing an activity profile defining parameters upon which a target score is established;
acquiring sensor data representing one or more subsets of acquired parameters based on one or more sensors disposed in a wearable computing device, the one or more sensors including an accelerometer configured to provide motion data as a portion of the sensor data;
determining values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the activity profile;
calculating at a first processor an activity score based on the values, the activity score representing an attained portion of one or more health-related activities;
detecting a difference between the activity score and the target score, the difference exceeding a threshold;
modifying a rate at which the activity score accrues as a function of the difference; and
causing presentation of a representation of an overall score comprising the activity score.
2 . The method of claim 1 , wherein acquiring sensor data representing one or more subsets of acquired parameters comprises acquiring the motion data representing an activity-related parameter.
3 . The method of claim 2 , wherein the activity-related parameter comprises a motion action.
4 . The method of claim 2 , wherein determining values for the one or more subsets of the acquired parameters comprises determining at least one of the values for the activity-related parameter, the at least one of the values being used to calculate the activity score.
5 . The method of claim 1 , wherein acquiring sensor data representing one or more subsets of acquired parameters comprises acquiring another portion of the sensor data representing a location-related parameter using a global positioning system receiver implemented in the wearable computing device.
6 . The method of claim 1 , wherein acquiring sensor data representing one or more subsets of acquired parameters comprises acquiring another portion of the sensor data representing a location-related parameter using a location-based service.
7 . The method of claim 1 , wherein acquiring sensor data representing one or more subsets of acquired parameters comprises acquiring biometric data representing a heart rate.
8 . The method of claim 1 , wherein acquiring sensor data representing one or more subsets of acquired parameters comprises acquiring biometric data representing a skin galvanic response.
9 . The method of claim 1 , wherein the one or more sensors further comprises a heart rate monitor.
10 . The method of claim 9 , wherein the heart rate monitor is configured to use data from a piezoelectric sensor to determine a heart rate.
11 . The method of claim 1 , wherein the one or more sensors further comprises a piezoelectric sensor configured to provide acoustic data.
12 . The method of claim 1 , wherein the one or more sensors further comprises a piezoelectric sensor configured to provide bioimpedance data.
13 . A device, comprising:
a first interface configured to receive data representing an acquired parameter from one or more sensors, at least one sensor being an accelerometer disposed in a wearable computing device;
a processor configured to implement an aggregation engine comprising an activity manager and a conversion module, the aggregation engine configured to receive data representing an activity profile defining parameters upon which a target score is established, to acquire sensor data representing one or more subsets of acquired parameters based on the one or more sensors, the accelerometer configured to provide motion data as a portion of the sensor data, to determine values for the one or more subsets of the acquired parameters based on reference values for the parameters set forth in the activity profile, to calculate an activity score based on the values, to detect a difference between the activity score and the target score, the difference exceeding a threshold, to modify a rate at which the activity score accrues as a function of the difference; and
a second interface configured to cause presentation of a representation of an overall score comprising the activity score.
14 . The device of claim 13 , wherein the aggregation engine further comprises a score generator configured to adjust the activity score.
15 . The device of claim 13 , wherein the activity manager is configured to form the target score using activity-related parameters.
16 . The device of claim 13 , wherein the aggregation engine further comprises an environmental manager configured to provide an environmental parameter.
17 . The device of claim 16 , wherein the first interface further is configured to receive data representing the environmental parameter.
18 . The device of claim 13 , further comprising a repository configured to store one or more activity profiles.