Analysis of corporal movement alterations using a 3D body tracking sensor
Abstract:
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.
Año de publicación:
2015
Keywords:
- Kinect Sensor
- Corporal movement
- skeletal tracking
Fuente:
 scopus
scopus google
googleTipo de documento:
Conference Object
Estado:
Acceso restringido
Áreas de conocimiento:
- Ciencias de la computación
- Sensor
Áreas temáticas de Dewey:
- Fisiología humana
 Procesado con IA
Procesado con IAObjetivos de Desarrollo Sostenible:
- ODS 3: Salud y bienestar
- ODS 10: Reducción de las desigualdades
- ODS 9: Industria, innovación e infraestructura
 Procesado con IA
Procesado con IA