Transportable and scalable system for activities and exercises recognition in real-time
作者： Kevin Chapron , Kevin Bouchard , Elise Duchesne , Sebastien Gaboury
DOI: 10.1109/UIC-ATC.2017.8397512
关键词:
摘要: Patients concerned with neuromuscular disorders are usually given a program of multiple physical exercises to do. These must be recognized by devices ensure the therapist that patient did it well. To this end, we developed specific method allowing recognition two types activities on different window sizes. The consists communicating over Wi-Fi, use both wearable components and powerful embedded computer. Data is collected during fixed windows first device. Then features calculated retrieved data for algorithm. Participants took part in an experiment based four six daily activities. induced good results.
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