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Article Dans Une Revue Robotics and Autonomous Systems Année : 2014

Walking analysis of young and elderly people by using an intelligent walker ANG

Guillaume Sacco
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  • PersonId : 962214
Philippe Robert
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  • PersonId : 962215
Jean-Michel Turpin
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  • PersonId : 962216
Audrey Marteu
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  • PersonId : 962218
Olivier Guerin
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  • PersonId : 946345

Résumé

This paper proposes a new method to analyze human walking by using a 3-wheels rollator walker instrumented with encoders and a 3D accelerome-ter/gyrometer. In order to develop walking quality index and monitor the health state of elderly people at home, the walking of 23 young adults and 25 elderly people (> 69 years) with the help of the walker, are compared. The results show that many general walking indicators such as walking speed, stride length do not present obvious difference between the two groups, but that new indicators obtained by using the walker measurements and not available otherwise are very discriminating, e.g., the lateral motion of elderly people is larger, their walking accuracy is lower, but their effort distributed on the handles are more symmetrical. We also show that this walker may have other purposes such as updating collaborative maps with sideway slopes and location of lowered kerbs.
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Dates et versions

hal-01092996 , version 1 (09-12-2014)

Identifiants

Citer

Ting Wang, Jean-Pierre Merlet, Guillaume Sacco, Philippe Robert, Jean-Michel Turpin, et al.. Walking analysis of young and elderly people by using an intelligent walker ANG. Robotics and Autonomous Systems, 2014, pp.36. ⟨10.1016/j.robot.2014.09.019⟩. ⟨hal-01092996⟩
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