Recognition and Repetition Counting for ComplexPhysical Exercises with Deep Learning

Activity recognition using off-the-shelf smartwatches is an important problem in humanactivity recognition. In this paper, we present an end-to-end deep learning approach, able to provideprobability distributions over activities from raw sensor data. We apply our methods to 10 complexfull-body exerc...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Sensors (Basel, Switzerland) Switzerland), 2019-02, Vol.19 (3)
Hauptverfasser:	Soro, Andrea, Brunner, Gino, Tanner, Simon, Wattenhofer, Roger
Format:	Artikel
Sprache:	eng
Schlagworte:	Accelerometry Algorithms Deep Learning Exercise - physiology Human Activities - classification Humans Pattern Recognition, Automated - methods Sports - classification Wearable Electronic Devices
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!