Health telematics is a major improvement on patient lives and has shown to be a key practice to deliver healthcare services, overcoming geographical, temporal, and even organiza- tional barriers. One of the main challenges is to perform gait analysis at a distance through camera-based platforms, which requires the system to satisfy, beside accuracy and real-time, also portability and privacy compliance at the same time. We address this challenge by proposing a portable and low-cost platform that implements real-time and accurate 3D human pose estimation through an embedded software on a low-power off- the-shelf computing device that guarantees privacy by default and by design. We evaluated both accuracy and performance of the proposed solution through an infra-red marker-based motion capture system as ground truth to understand if and how such a portable technology can be used for gait analysis at a distance without leading to different clinical interpretations.

Real-time Human Pose Estimation at the Edge for Gait Analysis at a Distance

Michele Boldo;Enrico Martini;Stefano Aldegheri;Mirco De Marchi;Nicola Vale`;Mirko Filippetti;Nicola Smania;Matteo Bertucco;Alessandro Picelli;Nicola Bombieri
2022

Abstract

Health telematics is a major improvement on patient lives and has shown to be a key practice to deliver healthcare services, overcoming geographical, temporal, and even organiza- tional barriers. One of the main challenges is to perform gait analysis at a distance through camera-based platforms, which requires the system to satisfy, beside accuracy and real-time, also portability and privacy compliance at the same time. We address this challenge by proposing a portable and low-cost platform that implements real-time and accurate 3D human pose estimation through an embedded software on a low-power off- the-shelf computing device that guarantees privacy by default and by design. We evaluated both accuracy and performance of the proposed solution through an infra-red marker-based motion capture system as ground truth to understand if and how such a portable technology can be used for gait analysis at a distance without leading to different clinical interpretations.
3D Human Pose Estimation
Gait Analysis
Edge Computing
Smart Healthcare
Telemedicine
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11562/1070646
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact