{"id":"https://openalex.org/W2980654480","doi":"https://doi.org/10.1109/ecmr.2019.8870963","title":"Human Motion Prediction Based on Object Interactions","display_name":"Human Motion Prediction Based on Object Interactions","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2980654480","doi":"https://doi.org/10.1109/ecmr.2019.8870963","mag":"2980654480"},"language":"en","primary_location":{"id":"doi:10.1109/ecmr.2019.8870963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecmr.2019.8870963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 European Conference on Mobile Robots (ECMR)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000400241","display_name":"Lilli Bruckschen","orcid":"https://orcid.org/0000-0001-5328-2441"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Lilli Bruckschen","raw_affiliation_strings":["Humanoid Robots Lab, University of Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Humanoid Robots Lab, University of Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065181173","display_name":"Nils Dengler","orcid":null},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nils Dengler","raw_affiliation_strings":["Humanoid Robots Lab, University of Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Humanoid Robots Lab, University of Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103231515","display_name":"Maren Bennewitz","orcid":"https://orcid.org/0000-0003-4343-3028"},"institutions":[{"id":"https://openalex.org/I135140700","display_name":"University of Bonn","ror":"https://ror.org/041nas322","country_code":"DE","type":"education","lineage":["https://openalex.org/I135140700"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Maren Bennewitz","raw_affiliation_strings":["Humanoid Robots Lab, University of Bonn, Germany"],"affiliations":[{"raw_affiliation_string":"Humanoid Robots Lab, University of Bonn, Germany","institution_ids":["https://openalex.org/I135140700"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000400241"],"corresponding_institution_ids":["https://openalex.org/I135140700"],"apc_list":null,"apc_paid":null,"fwci":0.7086,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.75366185,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7911630868911743},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.7529689073562622},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6411860585212708},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.6290609836578369},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5404765009880066},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5267195701599121},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.490418404340744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4559011161327362},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.43468648195266724},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4239654541015625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7911630868911743},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.7529689073562622},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6411860585212708},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.6290609836578369},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5404765009880066},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5267195701599121},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.490418404340744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4559011161327362},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.43468648195266724},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4239654541015625},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ecmr.2019.8870963","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ecmr.2019.8870963","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 European Conference on Mobile Robots (ECMR)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2038540961","https://openalex.org/W2059993653","https://openalex.org/W2082511574","https://openalex.org/W2097545165","https://openalex.org/W2101821104","https://openalex.org/W2146055337","https://openalex.org/W2185953016","https://openalex.org/W2227909145","https://openalex.org/W2409556673","https://openalex.org/W2519586580","https://openalex.org/W2559085405","https://openalex.org/W2773777794","https://openalex.org/W2903831537","https://openalex.org/W2906808597","https://openalex.org/W2912816339","https://openalex.org/W2986853260","https://openalex.org/W2991228562"],"related_works":["https://openalex.org/W42295635","https://openalex.org/W1973996291","https://openalex.org/W2330575325","https://openalex.org/W2163803519","https://openalex.org/W2497592525","https://openalex.org/W3096145648","https://openalex.org/W2604548540","https://openalex.org/W4311431118","https://openalex.org/W4205448459","https://openalex.org/W4382240674"],"abstract_inverted_index":{"In":[0],"this":[1,22],"paper,":[2],"we":[3,139,181],"consider":[4,177],"the":[5,9,27,33,48,53,57,60,62,69,82,96,117,126,132,144,157,162,184],"problem":[6],"of":[7,12,29,56,107,125,134,149,156],"predicting":[8],"navigation":[10,49,98,158],"goal":[11,23,50,159],"a":[13,104,113],"moving":[14],"human":[15,58,63,83],"in":[16,32,89,141],"an":[17],"indoor":[18],"environment.":[19],"Knowledge":[20],"about":[21,71,146],"can":[24,38,75,91,186],"greatly":[25],"increase":[26],"efficiency":[28],"robots":[30],"acting":[31],"same":[34],"environment":[35],"as":[36,121,123],"interferences":[37],"be":[39,76,92,187],"avoided":[40],"and":[41,59,111,129,160,174],"assistance":[42],"quickly":[43],"provided":[44],"if":[45],"necessary.":[46],"Often":[47],"depends":[51],"on":[52,171],"previous":[54,72],"action":[55],"object":[61,73,109,150,178],"has":[64],"interacted":[65],"with":[66,86],"before.":[67],"Thus,":[68],"information":[70,145,173],"interactions":[74,110,151],"used":[77,93,188],"to":[78,94,102,153,165,189],"infer":[79],"possible":[80],"objects":[81],"will":[84],"interact":[85],"next,":[87],"which":[88],"term":[90],"predict":[95],"current":[97],"goal.":[99,137],"We":[100],"propose":[101],"learn":[103],"probability":[105],"distribution":[106],"subsequent":[108],"present":[112],"framework":[114],"that":[115,168],"utilizes":[116],"learned":[118],"transition":[119,147],"model":[120],"well":[122],"observations":[124],"human's":[127],"location":[128],"pose":[130],"for":[131],"prediction":[133,166,185],"their":[135],"movement":[136],"As":[138],"show":[140],"various":[142],"experiments,":[143],"probabilities":[148],"leads":[152],"reliable":[154],"predictions":[155],"improves":[161],"accuracy":[163],"compared":[164],"approaches":[167],"rely":[169],"only":[170],"spatial":[172],"do":[175],"not":[176],"interactions.":[179],"Furthermore,":[180],"demonstrate":[182],"how":[183],"realize":[190],"foresighted":[191],"robot":[192],"navigation.":[193]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
