TODD, Brian, Anthony,CAPODILUPO, John, Vincenzo,CAPODILUPO, Emily, Rachel,AHMED, William
申请号：
EP18791263
公开号：
EP3614917A4
申请日:
2018.04.23
申请国别(地区):
EP
年份:
2020
代理人:
摘要：
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.
