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Conference Papers Year : 2022

Application Scenarios for Gait Analysis with Wearable Sensors and Machine Learning

Abstract

The digital revolution that characterizes the beginning of the 4.0 Era has already prompted out a variety of smart living technologies, which rely on the pervasive connectivity granted by the Internet of Things. These technologies are having a relevant impact on health systems, working and domestic environments, sports and rehabilitation, by enabling new promising practices for human body kinematic studies. This paper provides a specific discussion on how kinematic studies in clinical diagnosis, rehabilitation and sport, take benefit from the use of the recent smart living technologies. More specifically, in exploring the latest trends in the application of gait analysis using wearable sensors and Machine Learning techniques.
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Dates and versions

hal-04608009 , version 1 (11-06-2024)

Identifiers

  • HAL Id : hal-04608009 , version 1

Cite

Mauro d'Arco, Martina Guerritore, Annarita Tedesco. Application Scenarios for Gait Analysis with Wearable Sensors and Machine Learning. 25th IMEKO TC4 International Symposium, Sep 2022, Brescia, Italy. pp.198-203. ⟨hal-04608009⟩
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