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.
| Original language | English |
|---|---|
| Title of host publication | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| Pages | 101-111 |
| Number of pages | 11 |
| Volume | 6334 LNAI |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 2010 International Conference on Brain Informatics, BI 2010 - Toronto, ON Duration: 2010 Aug 28 → 2010 Aug 30 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 6334 LNAI |
| ISSN (Print) | 03029743 |
| ISSN (Electronic) | 16113349 |
Other
| Other | 2010 International Conference on Brain Informatics, BI 2010 |
|---|---|
| City | Toronto, ON |
| Period | 10/8/28 → 10/8/30 |
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ASJC Scopus subject areas
- Computer Science(all)
- Theoretical Computer Science
Cite this
Brain signal recognition and conversion towards symbiosis with ambulatory humanoids. / Matsuyama, Yasuo; Noguchi, Keita; Hatakeyama, Takashi; Ochiai, Nimiko; Hori, Tatsuro.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6334 LNAI 2010. p. 101-111 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6334 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Brain signal recognition and conversion towards symbiosis with ambulatory humanoids
AU - Matsuyama, Yasuo
AU - Noguchi, Keita
AU - Hatakeyama, Takashi
AU - Ochiai, Nimiko
AU - Hori, Tatsuro
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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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UR - http://www.scopus.com/inward/citedby.url?scp=78249253313&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-15314-3_10
DO - 10.1007/978-3-642-15314-3_10
M3 - Conference contribution
SN - 3642153135
SN - 9783642153136
VL - 6334 LNAI
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 101
EP - 111
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ER -