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Suitability of a low cost system for quantitative motion capture applications

Contributo in Atti di convegno
Data di Pubblicazione:
2015
Abstract:
This paper presents an analysis on the suitability of a low cost motion capture system to support the development of generic applications within medical scenarios. In this study we used the Microsoft Kinect (first generation) sensor as basic technology for its wide availability and the relatively low cost, which generated great interest of the scientific community in several application fields. Most of the studies found in literature however, do not address the quality and reliability of the raw data (objects position and depth) considering only the results of the integrated 3D recognition algorithms for the final skeleton/gesture analysis. This can be critical in rehabilitation, in which the knowledge of accuracy, reliability and performance in tracking patient body movements is required and assessed.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
computer games; gesture recognition; medical computing; medical image processing; motion estimation; patient rehabilitation; reliability; Microsoft Kinect sensor; low cost system; medical scenarios; quantitative motion capture applications; rehabilitation; reliability; skeleton/gesture analysis; Accuracy
Elenco autori:
Gargiulo, Francesco
Autori di Ateneo:
GARGIULO FRANCESCO
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/317138
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