IEEE Mediterranean Eletrotechnical Conference 2020

IEEE MELECON 2020

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Conference Track

Session 2.3 - Artificial Intelligence and Big Data Analytics

A Novel Fitness Tracker Using Edge Machine Learning

  Massimo Merenda

  • ABSTRACT

Several characteristics of the human body turn into postural behavior, recognizable also during sport activities. The presence of differences between body types could lead to different behavior of wearable and fitness-devote products. A new wearable based on machine learning techniques for the exercise detection and repetitions count is described in this work. A proper dataset has been obtained in order to offline train the network. Eventually, the machine learning algorithm has been implemented inside an edge device for real-time test e verification.

  • PRESENTER

Massimo Merenda
  Università Mediterranea di Reggio Calabria, Italy

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