TY - GEN
T1 - Bio-signal integration for humanoid operation
T2 - 15th International Conference on Neuro-Information Processing, ICONIP 2008
AU - Matsuyama, Yasuo
AU - Matsushima, Fumiya
AU - Nishida, Youichi
AU - Hatakeyama, Takashi
AU - Sawada, Koji
AU - Kato, Takatoshi
PY - 2009
Y1 - 2009
N2 - Joint recognition of bio-signals emanated from human(s) is discussed. The bio-signals in this paper include camera-captured gestures and brain signals of hemoglobin change ΔO 2 H b . The recognition of the integrated data is applied to the operation of a biped humanoid. Hidden Markov Models (HMMs) and Support Vector Machines (SVMs) undertake the first stage recognition of individual signal. These subsystems are regarded as soft command issuers. Then, such low-level commands are integrated by a Bayesian Network (BN). Therefore, the total system is a novel HMM/SVM-embedded BN. Using this new recognition system, human operators can control the biped humanoid through the network by realizing more motion classes than methods of HMM-alone, SVM-alone and BN-alone.
AB - Joint recognition of bio-signals emanated from human(s) is discussed. The bio-signals in this paper include camera-captured gestures and brain signals of hemoglobin change ΔO 2 H b . The recognition of the integrated data is applied to the operation of a biped humanoid. Hidden Markov Models (HMMs) and Support Vector Machines (SVMs) undertake the first stage recognition of individual signal. These subsystems are regarded as soft command issuers. Then, such low-level commands are integrated by a Bayesian Network (BN). Therefore, the total system is a novel HMM/SVM-embedded BN. Using this new recognition system, human operators can control the biped humanoid through the network by realizing more motion classes than methods of HMM-alone, SVM-alone and BN-alone.
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U2 - 10.1007/978-3-642-02490-0_43
DO - 10.1007/978-3-642-02490-0_43
M3 - Conference contribution
AN - SCOPUS:70349112655
SN - 3642024890
SN - 9783642024894
VL - 5506 LNCS
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 352
EP - 360
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 25 November 2008 through 28 November 2008
ER -