TODD, BRIAN ANTHONY,CAPODILUPO, JOHN VINCENZO,CAPODILUPO, EMILY RACHEL,AHMED, WILLIAM
申请号：
CA3060439
公开号：
CA3060439A1
申请日:
2018.04.23
申请国别(地区):
CA
年份:
2018
代理人:
摘要：
A variety of techniques are used automate the collection and classification ofworkout data gathered by a wearablephysiological monitor. The classification process is staged in order tocorrectly and efficiently characterize a workout type. Initially,a generalized workout event is detected using motion and heart rate data. Thena location of the monitor on a user is determined. Anartificial intelligence engine can then be conditionally applied (if a workoutis occurring and a suitable device location is detected) toidentify the type of workout. In addition to improved speed and accuracy, aworkout detection process implemented in this manner canbe realized with a sufficiently small computational footprint for deploymenton a wearable physiological monitor.
