Adaptive Interface of Considering the Chaos Dynamics in Human Skill

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In this project, focusing the target to improve the adaptivity of interfacing by considering the chaos dynamics between human and environment, we developed the walking robot, the artificial neural network vision and the electric wheel chair car as a total system. The results are summarized in the followings ;1. Evaluation of the chaotic skill dynamics within the human walking and speech By application of chaos theory to the measured signal in walking and speech, we made clear of the nonlinear attracting dynamics within the human motions. We developed the 2-legged walking robot with the central pattern generator neurons.2. Constitution of the articial neural network vision with intelligent information processing Applied the pulse coupled neural networks to the primary visual processing, we developed the simulated system which have the capability to process the segmentation, foveation, target tracking of the objects.3. Development of the adaptive interfave of electric wheel chair of considering the interactive dynamics between human and machine We developed the electric wheel chair car system to measure and control the dynamical behaviors with human. The 22 sensors are equipped in this system and the measured data are processed synchronously to utilize the adaptive operation. As an example of the undesirable interaction between human and car, we showed the adaptive interfacing method to prevent the hunching phenomenon.