Marker-less motion capture (MOCAP) systems based on consumer technology simplify the analysis of movements in several research fields such as industry, healthcare and sports. Even if the marker-less MOCAP systems have performances with precision and accuracy lower than the marker-based MOCAP solutions, their low cost and ease of use make them the most suitable tools for full-body movements analysis. The most interesting category is relative to the use of RGB-D devices. This research work aims to compare the performances of the last two generations of Kinect devices as marker-less MOCAP systems: Microsoft Kinect v2 and Azure devices. To conduct the tests, a list of specific movements is acquired and evaluated. This work measures the improvements of the Azure in tracking human body movements. The gathered results are presented and discussed by evaluating performances and limitations of both marker-less MOCAP systems. Conclusions and future developments are shown and discussed.

(2021). RGB-D Sensors as Marker-Less MOCAP Systems: A Comparison Between Microsoft Kinect V2 and the New Microsoft Kinect Azure . Retrieved from http://hdl.handle.net/10446/203287

RGB-D Sensors as Marker-Less MOCAP Systems: A Comparison Between Microsoft Kinect V2 and the New Microsoft Kinect Azure

Rosa, Benedetta;Colombo Zefinetti, Filippo;Vitali, Andrea;Regazzoni, Daniele
2021-01-01

Abstract

Marker-less motion capture (MOCAP) systems based on consumer technology simplify the analysis of movements in several research fields such as industry, healthcare and sports. Even if the marker-less MOCAP systems have performances with precision and accuracy lower than the marker-based MOCAP solutions, their low cost and ease of use make them the most suitable tools for full-body movements analysis. The most interesting category is relative to the use of RGB-D devices. This research work aims to compare the performances of the last two generations of Kinect devices as marker-less MOCAP systems: Microsoft Kinect v2 and Azure devices. To conduct the tests, a list of specific movements is acquired and evaluated. This work measures the improvements of the Azure in tracking human body movements. The gathered results are presented and discussed by evaluating performances and limitations of both marker-less MOCAP systems. Conclusions and future developments are shown and discussed.
2021
Inglese
Advances in Simulation and Digital Human Modeling. Proceedings of the AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, July 25-29, 2021, USA
Wright, Julia L.; Barber, Daniel; Scataglini, Sofia; Rajulu, Sudhakar L.;
978-3-030-79762-1
264
359
367
online
Switzerland
Cham
Springer
esperti anonimi
AHFE 2021 Virtual Conferences on Human Factors and Simulation, and Digital Human Modeling and Applied Optimization, Virtual conference, 25-29 July 2021
Virtual conference (New York, USA)
25-29 July 2021
internazionale
contributo
Settore ING-IND/15 - Disegno e Metodi dell'Ingegneria Industriale
Accuracy; Kinect Azure; Kinect V2; Marker-less MOCAP systems;
info:eu-repo/semantics/conferenceObject
4
Rosa, Benedetta; COLOMBO ZEFINETTI, Filippo; Vitali, Andrea; Regazzoni, Daniele
1.4 Contributi in atti di convegno - Contributions in conference proceedings::1.4.01 Contributi in atti di convegno - Conference presentations
open
Non definito
273
(2021). RGB-D Sensors as Marker-Less MOCAP Systems: A Comparison Between Microsoft Kinect V2 and the New Microsoft Kinect Azure . Retrieved from http://hdl.handle.net/10446/203287
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10446/203287
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