Resumen
This paper proposes a system, which is intended to capture the body movements and human posture in order to use this data to assist physicians in movement alteration diagnosis. The system consists in four phases: Acquisition of the corporal movement with the Kinect Sensor, Extraction of the particular characteristic for scene captured by Kinect Sensor, Skeletal recognition and Processing of the acquired data. The system generates graphics which may be used to detect posture alterations and other movement disorders. The use of the Kinect Sensor (which is a non-invasive sensor) brings the advantage of registering corporal movement or skeletal tracking but avoiding the errors from a direct body-sensor interface.
Idioma original | Inglés |
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Título de la publicación alojada | 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings |
Editorial | Institute of Electrical and Electronics Engineers Inc. |
Páginas | 202-205 |
Número de páginas | 4 |
ISBN (versión digital) | 9781479919208 |
DOI | |
Estado | Publicada - 21 oct. 2015 |
Evento | 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Rome, Italia Duración: 28 sep. 2015 → 30 sep. 2015 |
Serie de la publicación
Nombre | 1st IEEE International Symposium on Systems Engineering, ISSE 2015 - Proceedings |
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Conferencia
Conferencia | 1st IEEE International Symposium on Systems Engineering, ISSE 2015 |
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País/Territorio | Italia |
Ciudad | Rome |
Período | 28/09/15 → 30/09/15 |
Nota bibliográfica
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