Wearable sensor monitoring and data analysis

1. A method on a processor, the method comprising:

receiving data indicating a plurality of measured quantities associated with movement of respective parts of a person at a time point, each respective measured quantity within the plurality of measured quantities having been determined by a respective sensor physically coupled to a respective part of the person at a respective location on the person;

receiving environmental data indicting environmental quantities associated with the person;

determining at least one characteristic of the person associated with the time point based on analyzing the plurality of measured quantities in combination with the environmental data;

storing the at least one characteristic;

determining at least one recommendation for the person based upon the characteristics;

providing a report comprising the at least one recommendation;

comparing each respective measured quantity with respective expected values for respective movements of the respective part of the person at the respective location to which the respective sensor is coupled;

defining respective alarm trigger points corresponding to the respective expected values for respective movements of the respective part of the person;

comparing the respective measured quantity with a respective alarm trigger point;

determining, based on comparing the respective measured quantities with expected values and on comparing the respective measured quantity with a respective alarm trigger point, an anomalous condition for the person, the anomalous condition corresponding to an emergency condition with the person; and

notifying, based on determining the anomalous condition for the person, an emergency responder of the emergency condition of the person.

2. The method of claim 1 , further comprising receiving equipment data indicating usage of at least one piece of equipment being used by the person at the time point, and

wherein determining the at least one recommendation for the person is further based on the equipment data.

3. The method of claim 1 , further comprising:

receiving equipment data indicating usage of at least one piece of equipment being used by the person at the time point,

wherein determining the at least one characteristic is further based on analyzing the equipment data with the plurality of measured quantities.

4. The method of claim 1 , further comprising:

storing the at least one characteristic in association with an indication of the time point;

determining at least one subsequent characteristic associated with the person at a subsequent time point that is subsequent to the time point, the at least one subsequent characteristic being determined based upon analysis of a subsequent plurality of measured characteristics; and

determining a trend for the person based on the at least one characteristic and the at least one subsequent characteristic.

5. The method of claim 4 , further comprising determining, based on the trend, recommendations for the person.

6. The method of claim 1 , further comprising:

receiving, in association with the data indicating the plurality of measured quantities, biometric identification data associated with the person;

storing, in association with the data indicating the plurality of measured quantities, the biometric identification data associated with the person; and

limiting access to a storage storing the at least one characteristic or the data indicating the plurality of measured quantities based on a verification, in association with the access, of biometric identification data.

7. The method of claim 1 , further comprising providing the at least one recommendation to at least one of a health-care professional, a coach, a doctor or a designated receiver of information associated with the person.

8. The method of claim 1 , further comprising:

determining, based on comparing the respective measured quantities with expected values, that a first measured quantity within the plurality of measured quantities exceeds a respective alarm trigger point for the first measured quantity; and

determining, based on determining that the first measured quantity exceeds a respective alarm trigger point for the first measured quantity, whether at least one other measured quantity contradicts the first measured quantity,

where determining the an anomalous condition for the person is further based on determining that the at least one other measured quantity contradicts the first measured quantity.

9. A data processor, comprising:

a data receiver that, when operating:

receives data indicating a plurality of measured quantities associated with movement of respective parts of a person at a time point, each respective measured quantity within the plurality of measured quantities having been determined by a respective sensor physically coupled to a respective part of the person at a respective location on the person; and

receives environmental data indicting environmental quantities associated with the person; and

a data analyzer that when operating:

determines at least one characteristic of the person associated with the time point based on analyzing the plurality of measured quantities in combination with the environmental data;

stores the at least one characteristic;

determines at least one recommendation for the person based upon the characteristics;

provides a report comprising the at least one recommendation;

compares each respective measured quantity with respective expected values for respective movements of the respective part of the person at the respective location to which the respective sensor is coupled;

defines respective alarm trigger points corresponding to the respective expected values for respective movements of the respective part of the person;

compares the respective measured quantity with a respective alarm trigger point;

determines, based on comparing the respective measured quantities with expected values and on comparing the respective measured quantity with a respective alarm trigger point, an anomalous condition for the person, the anomalous condition corresponding to an emergency condition with the person; and

notifies, based on determining the anomalous condition for the person, an emergency responder of the emergency condition of the person.

10. The data processor of claim 9 , wherein the data receiver, when operating, further:

receives data comprises receiving encrypted data comprising the data indicating a plurality of measured quantities associated with movement of a person; and

decrypts the encrypted data.

11. The data processor of claim 9 , wherein the data receiver, when operating, further receives equipment data indicating usage of at least one piece of equipment being used by the person at the time point, and

wherein the data analyzer determines the at least one recommendation for the person based on the equipment data.

12. The data processor of claim 9 , wherein the data analyzer, when operating, further determines the at least one recommendation based on at least one of:

one or more measured quantities within the plurality of measured quantities associated with movement of a person at a time point;

environmental data associated with the time point at a location proximate to the person in combination with the one or more measured quantities;

equipment data associated with the time point at a location proximate to the person in combination with the one or more measured quantities; and

trend data determined for the person based on a plurality of one or more measured quantities observed at different times.

13. The data processor of claim 9 , wherein the receiver, when operating, further:

receives environmental data associated with the time point and a location proximate to the movement, and

wherein the data analyzer, when operating, determines the at least one characteristic further based on analysis of the environmental data with the plurality of measured quantities.

14. The data processor of claim 9 , further comprising:

a data storage that when operating stores the at least one characteristic in association with an indication of the time point, and wherein the data analyzer, when operating, further:

determines at least one subsequent characteristic associated with the person at a subsequent time point that is subsequent to the time point, the at least one subsequent characteristic being determined based upon analysis of a subsequent plurality of measured characteristics; and

determines a trend for the person based on the at least one characteristic and the at least one subsequent characteristic.

15. The data processor of claim 14 , wherein the data analyzer, when operating, further determines, based on the trend, recommendations for the person.

16. The data processor of claim 9 , wherein the receiver, when operating, further receives, in association with the data indicating the plurality of measured quantities, biometric identification data associated with the person, and the data processor further comprising:

a data storage that, when operating:

stores, in association with the data indicating the plurality of measured quantities, the biometric identification data associated with the person; and

limits access to a storage storing the at least one characteristic or the data indicating the plurality of measured quantities based on a verification, in association with the access, of biometric identification data.