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Pub. No.:    WO/2018/200421    International Application No.:    PCT/US2018/028960
Publication Date: Fri Nov 02 00:59:59 CET 2018 International Filing Date: Tue Apr 24 01:59:59 CEST 2018
IPC: A61B 5/04
Applicants: WHOOP, INC.
Inventors: TODD, Brian, Anthony
CAPODILUPO, John, Vincenzo
CAPODILUPO, Emily, Rachel
AHMED, William
A variety of techniques are used automate the collection and classification of workout data gathered by a wearable physiological monitor. The classification process is staged in order to correctly and efficiently characterize a workout type. Initially, a generalized workout event is detected using motion and heart rate data. Then a location of the monitor on a user is determined. An artificial intelligence engine can then be conditionally applied (if a workout is occurring and a suitable device location is detected) to identify the type of workout. In addition to improved speed and accuracy, a workout detection process implemented in this manner can be realized with a sufficiently small computational footprint for deployment on a wearable physiological monitor.