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Analyzing human gait and posture by combining feature selection and kernel methods

Autor
Sama, A.; Angulo, C.; Pardo, D.E.; Catala, A.; Cabestany, J.
Tipus d'activitat
Article en revista
Revista
Neurocomputing
Data de publicació
2011-09
Volum
74
Número
16
Pàgina inicial
2665
Pàgina final
2674
DOI
https://doi.org/10.1016/j.neucom.2011.03.028 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/13182 Obrir en finestra nova
URL
http://www.sciencedirect.com/science/article/pii/S0925231211002475 Obrir en finestra nova
Resum
This paper evaluates a set of computational algorithms for the automatic estimation of human postures and gait properties from signals provided by an inertial body sensor. The use of a single sensor device imposes limitations for the automatic estimation of relevant properties, like step length and gait velocity, as well as for the detection of standard postures like sitting or standing. Moreover, the exact location and orientation of the sensor is also a common restriction that is relaxed in th...
Grup de recerca
AHA - Arquitectures Hardware Avançades
CETpD -Centre d'Estudis Tecnològics per a l'Atenció a la Dependència i la Vida Autònoma
GREC - Grup de Recerca en Enginyeria del Coneixement
IDEAI-UPC Intelligent Data Science and Artificial Intelligence

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