Heterogeneous bio-signals including human motions, brain NIRS and neural spike trains are utilized for operating biped humanoids. The Bayesian network comprising Hidden Markov Models and Support Vector Machines is designed for the signal integration. By this method, the system complexity is reduced so that that total operation is within the scope of PCs. The designed system is capable of transducing original sensory meaning to another. This leads to prosthesis, rehabilitation and gaming. In addition to the supervised mode, the humanoid can act autonomously for its own designed tasks.
|ホスト出版物のタイトル||5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010|
|出版ステータス||Published - 2010|
|イベント||5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010 - Osaka|
継続期間: 2010 3月 2 → 2010 3月 5
|Other||5th ACM/IEEE International Conference on Human-Robot Interaction, HRI 2010|
|Period||10/3/2 → 10/3/5|
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