CHRIS : Cybernetic Human-Robot Interface Systems
CHRIS : Cybernetic Human-Robot Interface Systems
复制标题
CHRIS：控制论人机界面系统
DOI：
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
K. Shima
中科院分区：
文献类型：
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作者：
K. Shima
本文提出了名为CHRIS的控制论人机界面系统，用于使用生物信号操作电动轮椅、家用电器和视频游戏机等机器。根据测量的生物信号，可以通过概率神经网络（PNN）估计用户的操作意图，然后相应地生成控制命令。为了验证所提出的方法的有效性，与一个健康的人和残疾人的实验进行了电动轮椅，家用电器，和视频游戏机。实验结果表明，这些机器可以熟练地操作，因此，该系统可以用于身体残疾人。
This paper proposes cybernetic human-robot interface systems named CHRIS for operation of machines such as electric wheelchairs, home electric devices, and video game machines using biological signals. From the measured biological signals, users’ intention of operation can be estimated with a probabilistic neural network (PNN), and then, control commands are generated accordingly. To verify validity of the proposed method, experiments with a healthy person and the disabled were conducted with an electric wheelchair, home electric devices, and a video game machine. From experimental results, it was shown that these machines could be manipulated skillfully, so that this system can be useful for the physically disabled.