Automated prescription of activity based on physical activity data

A non-transitory tangible computer readable storage medium having stored thereon computer-executable instructions that, when executed by a processor, cause the processor to:

• receive activity data of one or more sensors that is indicative of an activity of a user, the activity data comprising a plurality of sensor measurements associated with multiple parameters monitored during an activity session;
• retrieve a set of criteria that comprises thresholds to detect an activity type, wherein the set comprises a criterion related to a biomedical parameter and a criterion related to a resistance parameter;
• classify, based on the set of criteria, the received activity data of the one or more sensors into one or more segments, wherein the one or more segments comprise a first segment comprising a portion of the activity data corresponding to the activity type;
• access historical data associated with the user, the historical data comprising a second segment of historical data corresponding to the activity type;
• compare the first segment comprising the portion of the received activity data and the second segment comprising historical data;
• and
• generate output based on the comparing.

A system comprising:

• a memory;
• and
• a processor operatively coupled to the memory, the processor to execute instructions to:
• receive activity data of one or more sensors that is indicative of an activity of a user, the activity data comprising a plurality of sensor measurements associated with multiple parameters monitored during an activity session;
• retrieve a set of criteria that comprise thresholds to detect an activity type, wherein the set comprises a criterion related to a biomedical parameter and a criterion related to a resistance parameter;
• classify, based on the set of criteria, the received activity data of the one or more sensors into one or more segments, wherein the one or more segments comprise a first segment comprising a portion of the activity data corresponding to the activity type;
• access historical data associated with the user, the historical data comprising a second segment of historical data corresponding to the activity type;
• compare the first segment comprising the portion of the received activity data and the second segment comprising historical data;
• and
• generate output based on the comparing.