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원종성(Jong-Sung Won),탁태오(Tae-Oh Tak),김래겸(Lae-Kyeom Kim),백광열(Gwang-Yeol Baek) 대한기계학회 2009 대한기계학회 춘추학술대회 Vol.2009 No.11
Bicycle driving is a typical man-machine interface system. Up to this point, most dynamic analyses of bicycles have been focused on bicycles, thus the effects of human driver have been neglected. In this research, by qualitatively measuring bicycle and human driver motion to stabilize the bicycle when subjected to sudden lateral disturbance, human drive’s steering angle control law is deduced as a function of roll angle, driver upper body lean angle against bicycle, lateral acceleration, and yaw rate. Combining a bicycle multibody model by ADAMS and human driver model by LifeMOD, an interactive driver-bicycle model has been setup. The derived steering angle control law has been implemented to the driver-bicycle model to simulate stabilizing motion, which showed good agreements with the experimental result.
김래겸,탁태오 江原大學校 産業技術硏究所 2008 産業技術硏究 Vol.28 No.A
Muscle force prediction in forward dynamic analysis of human motion depends many muscle parameters associated with muscle actuation. This research studies the effects of various parameters of Hill type muscle model using the simple hand raising motion. Motion analysis is carried out using motion capture system, and each muscle force is recorded for comparison with muscle model generated muscle force. Using Hill type muscle model, muscle force for generating the same hand rasing motion was setup adjusting 5 activation parameters. The test showed the importance of activation parameters on the accurate generation of muscle force.