Ontology type: schema:Chapter
2014
AUTHORSWei Li , Yunyi Li , Genshe Chen , Qinghao Meng , Ming Zeng , Fuchun Sun
ABSTRACTControl of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoid robot behavior. In order to improve subjects’ concentration on their mental activities during tests, we develop a stimuli module in the Cerebot system, consisting of a Cerebus neural data acquisition system and a Kumotek robot with 20 degrees of freedom or a NAO robot with 25 degrees of freedom. We present the experimental procedures for acquiring brain signals of imagining humanoid robot walking behavior by using movies of robot walking or real robot walking activities. We record two groups of brain signals correlated to mental activities of six robot walking behavior. Finally, we present a demonstration of controlling the humanoid robot walking behavior using the phase coding mechanisms of the Delta rhythms. More... »
PAGES617-627
Foundations and Practical Applications of Cognitive Systems and Information Processing
ISBN
978-3-642-37834-8
978-3-642-37835-5
http://scigraph.springernature.com/pub.10.1007/978-3-642-37835-5_53
DOIhttp://dx.doi.org/10.1007/978-3-642-37835-5_53
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1013251434
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0801",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Artificial Intelligence and Image Processing",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Information and Computing Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Tianjin University",
"id": "https://www.grid.ac/institutes/grid.33763.32",
"name": [
"School of Electrical Engineering and Automation, Institute of Robotics and Autonomous System (IRAS), Tianjin University, Tianjin, China"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Wei",
"id": "sg:person.011442171320.50",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011442171320.50"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Duke University",
"id": "https://www.grid.ac/institutes/grid.26009.3d",
"name": [
"Department of Psychology and Neuroscience, Duke University, 417 Chapel Drive, Durham, NC\u00a027708-0086, USA"
],
"type": "Organization"
},
"familyName": "Li",
"givenName": "Yunyi",
"id": "sg:person.01054321017.64",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01054321017.64"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Intelligent Fusion Technology (United States)",
"id": "https://www.grid.ac/institutes/grid.470591.e",
"name": [
"I-Fusion Technologies, Inc, Germantown, MD\u00a020874, USA"
],
"type": "Organization"
},
"familyName": "Chen",
"givenName": "Genshe",
"id": "sg:person.016543706253.31",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016543706253.31"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tianjin University",
"id": "https://www.grid.ac/institutes/grid.33763.32",
"name": [
"School of Electrical Engineering and Automation, Institute of Robotics and Autonomous System (IRAS), Tianjin University, Tianjin, China"
],
"type": "Organization"
},
"familyName": "Meng",
"givenName": "Qinghao",
"id": "sg:person.01050261740.36",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050261740.36"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tianjin University",
"id": "https://www.grid.ac/institutes/grid.33763.32",
"name": [
"School of Electrical Engineering and Automation, Institute of Robotics and Autonomous System (IRAS), Tianjin University, Tianjin, China"
],
"type": "Organization"
},
"familyName": "Zeng",
"givenName": "Ming",
"id": "sg:person.016060400601.09",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016060400601.09"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Tsinghua University",
"id": "https://www.grid.ac/institutes/grid.12527.33",
"name": [
"State Key Laboratory of Intelligent Technology and Systems, Tsinghua University, Beijing, China"
],
"type": "Organization"
},
"familyName": "Sun",
"givenName": "Fuchun",
"id": "sg:person.012613212245.26",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012613212245.26"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1016/j.tins.2006.07.004",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1002419719"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1117/12.918767",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1003901483"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1088/1741-2560/5/2/012",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1011322267"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.neuron.2009.01.008",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015094633"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/eej.20109",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015586002"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1002/eej.20109",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1015586002"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/35042582",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016967470",
"https://doi.org/10.1038/35042582"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/35042582",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016967470",
"https://doi.org/10.1038/35042582"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.5772/13556",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1022831111"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1162/089892904322755601",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025203914"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.clinph.2008.06.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034268827"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.clinph.2008.06.001",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1034268827"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0168-0102(94)90032-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052319155"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/0168-0102(94)90032-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052319155"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/10223",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052566419",
"https://doi.org/10.1038/10223"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/10223",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052566419",
"https://doi.org/10.1038/10223"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1086/527645",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1058795182"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/tro.2009.2020347",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1061785045"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/robot.2010.5509150",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094006514"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/icorr.2007.4428546",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1094378460"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/isdea.2012.484",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095527358"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1109/robot.1998.677288",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1095706289"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2316/p.2011.752-024",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1099259494"
],
"type": "CreativeWork"
}
],
"datePublished": "2014",
"datePublishedReg": "2014-01-01",
"description": "Control of humanoid robot behavior with the mind begins a new era of robotics research. One of the critical issues in this research is how to acquire the brain signals with high quality which are correlated to humanoid robot behavior. In order to improve subjects\u2019 concentration on their mental activities during tests, we develop a stimuli module in the Cerebot system, consisting of a Cerebus neural data acquisition system and a Kumotek robot with 20 degrees of freedom or a NAO robot with 25 degrees of freedom. We present the experimental procedures for acquiring brain signals of imagining humanoid robot walking behavior by using movies of robot walking or real robot walking activities. We record two groups of brain signals correlated to mental activities of six robot walking behavior. Finally, we present a demonstration of controlling the humanoid robot walking behavior using the phase coding mechanisms of the Delta rhythms.",
"editor": [
{
"familyName": "Sun",
"givenName": "Fuchun",
"type": "Person"
},
{
"familyName": "Hu",
"givenName": "Dewen",
"type": "Person"
},
{
"familyName": "Liu",
"givenName": "Huaping",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-642-37835-5_53",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-642-37834-8",
"978-3-642-37835-5"
],
"name": "Foundations and Practical Applications of Cognitive Systems and Information Processing",
"type": "Book"
},
"name": "Acquiring Brain Signals of Imagining Humanoid Robot Walking Behavior via Cerebot",
"pagination": "617-627",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-642-37835-5_53"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"3f21174f070a2010f8a3694cbf061ae194b19e8386eb8af33f66d14840067cb9"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1013251434"
]
}
],
"publisher": {
"location": "Berlin, Heidelberg",
"name": "Springer Berlin Heidelberg",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-642-37835-5_53",
"https://app.dimensions.ai/details/publication/pub.1013251434"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T19:07",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8684_00000251.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-642-37835-5_53"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-37835-5_53'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-37835-5_53'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-37835-5_53'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-642-37835-5_53'
This table displays all metadata directly associated to this object as RDF triples.
175 TRIPLES
23 PREDICATES
45 URIs
20 LITERALS
8 BLANK NODES