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.
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Matsuyama, Y., Noguchi, K., Hatakeyama, T., Ochiai, N., Hori, T. (2010). Brain Signal Recognition and Conversion towards Symbiosis with Ambulatory Humanoids. In: Yao, Y., Sun, R., Poggio, T., Liu, J., Zhong, N., Huang, J. (eds) Brain Informatics. BI 2010. Lecture Notes in Computer Science(), vol 6334. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15314-3_10
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DOI: https://doi.org/10.1007/978-3-642-15314-3_10
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