Multimodal signals emanated from human users are applied to operations of bipedal humanoids. Distinctive features of the designed system include recognition and conversion of sensibilities as patterns contained in the biosignals. The total recognition system is a combination of Bayesian networks, hidden Markov models, independent component analysis, and support vector machines. Input biosignals are electro-encephalogram, brain near infra-red spectroscopy, neural spike trains, and body motions (gestures). After the recognition of biosignals, user intentions issued as patterns are transduced to different electronic tasks. In addition to such an ability of sensory conversion, this mechanism has a merit of enhancing the independence of target machines. The combined recognizer allows system designers to use conventional PCs alone. With all of such advantages, a bipedal humanoid, which is selected as a representative of contemporary electronic appliances, is operated by the human biosignals. Operations by inner language patterns are also realized.
|ホスト出版物のタイトル||Proceedings of the IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2012|
|出版ステータス||Published - 2012|
|イベント||IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2012 - Napoli|
継続期間: 2012 6月 25 → 2012 6月 27
|Other||IASTED International Conference on Artificial Intelligence and Soft Computing, ASC 2012|
|Period||12/6/25 → 12/6/27|
ASJC Scopus subject areas