Recognition and Repetition Counting for Complex Physical Exercises with Deep Learning

Activity recognition using off-the-shelf smartwatches is an important problem in human activity recognition. In this paper, we present an end-to-end deep learning approach, able to provide probability distributions over activities from raw sensor data. We apply our methods to 10 complex full-body ex...

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Bibliographic Details
Main Authors: Andrea Soro, Gino Brunner, Simon Tanner, Roger Wattenhofer
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/19/3/714