Brain signal recognition and conversion towards symbiosis with ambulatory humanoids

Authors:
Yasuo Matsuyama;Keita Noguchi;Takashi Hatakeyama;Nimiko Ochiai;Tatsuro Hori
Affiliations:
Waseda University, Department of Computer Science and Engineering, Tokyo, Japan;Waseda University, Department of Computer Science and Engineering, Tokyo, Japan;Waseda University, Department of Computer Science and Engineering, Tokyo, Japan;Waseda University, Department of Computer Science and Engineering, Tokyo, Japan;Waseda University, Department of Computer Science and Engineering, Tokyo, Japan
Venue:
BI'10 Proceedings of the 2010 international conference on Brain informatics
Year:
2010

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Abstract

Human-humanoid symbiosis by using brain signals is presented. Humans issue two types of brain signals. One is non-invasive NIRS giving oxygenated hemoglobin concentration change and tissue oxygeneration index. The other is a set of neural spike trains (measured on macaques for safety compliance). In addition to such brain signals, human motions are combined so that rich in carbo information is provided for the operation of a humanoid which is a representative of in silico information processing appliances. The total system contains a recognition engine of an HMM/SVM-embedded Bayesian network so that the in carbo signals are integrated, recognized and converted to operate the humanoid. This well-folded system has made it possible to operate the humanoid by thinking alone using a conventional PC. The designed system's ability of transducing sensory information is expected to lead to amusement systems, rehabilitation and prostheses.