Selecting biomechanical variables for detect gait events using computational vision

• Type: Article in International Conference Proceedings Book
• Date: 2007

Authors

Daniela Sofia S. Sousa (Author) FEUP; João Manuel R. S. Tavares (Author) FEUP; Miguel Velhote Correia (Author) FEUP; Emília Mendes (Author) Other; António Veloso (Author) Other; Vera Silva (Author) Other; Filipa João (Author) Other

Conference proceedings International

Title: ICCB2007 – III International Congress on Computational Bioengineering

Pages: 291-296

Proceedings of ICCB 2007 – III International Congress on Computational Bioengineering Editors: M. Cerrolaza, H. Rodrigues, M. Doblaré, J. Ambrosio, M. Viceconti Publisher: Instituto Nacional de Bioingeniería, Universidade Central de Venezuela, Caracas, Venezuela ISBN: 978-980-6939-10-3

Isla de Margarita, Venezuela, 17-19 September 2007

Scientific classification

FOS: Engineering and technology > Mechanical engineering

CORDIS: Physical sciences > Physics > Biophysics > Biomechanics

Other information

Abstract (EN): In clinical gait analysis gait events, such as initial contact and toe off, are needed for biomechanical data normalization and for several temporal/distance parameters estimation. Therefore, there is a major necessity to identify the key gait events accurately. In this paper it will be presented an algorithm to detected stance phase and swing phase events using just visual information acquired by image cameras. The performance of our algorithm was compared with the ¿golden standard¿ method (based on data from force platforms) considering normal video digital cameras and high-speed cameras also.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6