Title :
Virtual walkway system and prediction of gait mode transition for the control of the gait simulator
Author :
Shiozawa, N. ; Arima, S. ; Makikawa, M.
Author_Institution :
Graduate Sch. of Sci. & Eng., Ritsumeikan Univ., Shiga, Japan
Abstract :
A virtual walkway system is proposed in This work. This system consists of a new developed gait simulator and a HMD system to present virtual space to the user. The gait simulator is designed to permit the user to walk straight, change direction, go up and down stairs, etc. Main part of this gait simulator is two foot plates driven by three arms and actuators. Each foot plate follows the foot during swing phase and pulls it back during the stance phase while the user is walking straight However this gait simulator has one weak point, that is, this simulator cannot follow the change of gait mode sufficiently, like the start of walking or the end of walking. To solve this problem it is necessary to predict the change of gait mode to follow the transition perfectly. In this paper we chose the start and the end of straight walking and have tried to measure this transition of gait mode. To do this we paid attention on the anterior bending of the upper trunk. It is expected that the trunk bends forward before the start of walking and bends back before the stop of walking. In the experiment the distance between the upper trunk and the center of gravity (COG) was measured and it was proven that the measurement of this distance showed to be useful to know the transition of straight walking. This result was examined again on the gait simulator. Implanted control algorithm of gait simulator is as follows; two foot plates pull back the feet when the start of walking was predicted and stop when the stop of walking was predicted. Results show that the gait simulator was able to reproduce the start and the end of walking by this prediction algorithm.
Keywords :
gait analysis; helmet mounted displays; medical control systems; orthotics; HMD system; center of gravity; foot plate; gait mode transition; gait simulator control; implanted control algorithm; prediction algorithm; trunk bends; virtual walkway system; Actuators; Arm; Displays; Foot; Gravity; Humans; Legged locomotion; Prediction algorithms; Predictive models; Virtual reality; gait; gait simulator; virtual reality;
Conference_Titel :
Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-8439-3
DOI :
10.1109/IEMBS.2004.1403774