{"id":"https://openalex.org/W2902538504","doi":"https://doi.org/10.1109/tpami.2018.2883327","title":"Force from Motion: Decoding Control Force of Activity in a First-Person Video","display_name":"Force from Motion: Decoding Control Force of Activity in a First-Person Video","publication_year":2018,"publication_date":"2018-11-26","ids":{"openalex":"https://openalex.org/W2902538504","doi":"https://doi.org/10.1109/tpami.2018.2883327","mag":"2902538504","pmid":"https://pubmed.ncbi.nlm.nih.gov/30489262"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2018.2883327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2883327","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5101538702","display_name":"Hyun Soo Park","orcid":"https://orcid.org/0000-0001-6613-0738"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hyun Soo Park","raw_affiliation_strings":["University of Minnesota, Minneapolis, USA"],"affiliations":[{"raw_affiliation_string":"University of Minnesota, Minneapolis, USA","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081456949","display_name":"Jianbo Shi","orcid":"https://orcid.org/0000-0003-2637-1929"},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]},{"id":"https://openalex.org/I922845939","display_name":"Philadelphia University","ror":"https://ror.org/03zzmyz63","country_code":"US","type":"education","lineage":["https://openalex.org/I922845939"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianbo Shi","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, USA"],"affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, USA","institution_ids":["https://openalex.org/I922845939","https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101538702"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":0.1045,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.47108027,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"42","issue":"3","first_page":"622","last_page":"635"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9997000098228455,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9986000061035156,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9955999851226807,"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-vision","display_name":"Computer vision","score":0.6248230934143066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6240677833557129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5742965936660767},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.5107488632202148},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4663623571395874},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.4554738998413086},{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.44616642594337463},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.43364977836608887},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19758808612823486},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.145020991563797},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.1136547327041626}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6248230934143066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6240677833557129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5742965936660767},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.5107488632202148},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4663623571395874},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.4554738998413086},{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.44616642594337463},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.43364977836608887},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19758808612823486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.145020991563797},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.1136547327041626},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000054","descriptor_name":"Acceleration","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D006802","descriptor_name":"Human Activities","qualifier_ui":"Q000145","qualifier_name":"classification","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D009068","descriptor_name":"Movement","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D013177","descriptor_name":"Sports","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013177","descriptor_name":"Sports","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013177","descriptor_name":"Sports","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D014741","descriptor_name":"Video Recording","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2018.2883327","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2018.2883327","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:30489262","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30489262","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.8399999737739563,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":84,"referenced_works":["https://openalex.org/W13223599","https://openalex.org/W36923225","https://openalex.org/W195033972","https://openalex.org/W1484739396","https://openalex.org/W1520997877","https://openalex.org/W1555156243","https://openalex.org/W1566135517","https://openalex.org/W1573991794","https://openalex.org/W1592011777","https://openalex.org/W1643263348","https://openalex.org/W1903029394","https://openalex.org/W1906662973","https://openalex.org/W1912797782","https://openalex.org/W1931090275","https://openalex.org/W1940585053","https://openalex.org/W1943191679","https://openalex.org/W1969132943","https://openalex.org/W1969791747","https://openalex.org/W1970890515","https://openalex.org/W1976389138","https://openalex.org/W1978990080","https://openalex.org/W1990930131","https://openalex.org/W1998058414","https://openalex.org/W2004987096","https://openalex.org/W2033819227","https://openalex.org/W2035558540","https://openalex.org/W2044995164","https://openalex.org/W2048821851","https://openalex.org/W2064675550","https://openalex.org/W2070999216","https://openalex.org/W2074520446","https://openalex.org/W2097412577","https://openalex.org/W2098813977","https://openalex.org/W2099634219","https://openalex.org/W2102813107","https://openalex.org/W2106229755","https://openalex.org/W2113510982","https://openalex.org/W2117539524","https://openalex.org/W2118025528","https://openalex.org/W2121299550","https://openalex.org/W2121969814","https://openalex.org/W2124600577","https://openalex.org/W2126022292","https://openalex.org/W2131938593","https://openalex.org/W2134810690","https://openalex.org/W2135826343","https://openalex.org/W2136024719","https://openalex.org/W2136668269","https://openalex.org/W2136877925","https://openalex.org/W2138057384","https://openalex.org/W2140924050","https://openalex.org/W2146020220","https://openalex.org/W2149276562","https://openalex.org/W2151103935","https://openalex.org/W2155893237","https://openalex.org/W2163605009","https://openalex.org/W2167462312","https://openalex.org/W2167626157","https://openalex.org/W2167856595","https://openalex.org/W2171184283","https://openalex.org/W2197759570","https://openalex.org/W2198618282","https://openalex.org/W2212494831","https://openalex.org/W2241646883","https://openalex.org/W2296893412","https://openalex.org/W2396252981","https://openalex.org/W2397983623","https://openalex.org/W2443846596","https://openalex.org/W2467827533","https://openalex.org/W2470043989","https://openalex.org/W3146246490","https://openalex.org/W4248113204","https://openalex.org/W6607786297","https://openalex.org/W6633075605","https://openalex.org/W6634370132","https://openalex.org/W6674775138","https://openalex.org/W6675954300","https://openalex.org/W6676662276","https://openalex.org/W6678509853","https://openalex.org/W6680006683","https://openalex.org/W6684191040","https://openalex.org/W6684332807","https://openalex.org/W6697279476","https://openalex.org/W6712286479"],"related_works":["https://openalex.org/W4323768008","https://openalex.org/W4360995134","https://openalex.org/W1941703695","https://openalex.org/W2387529410","https://openalex.org/W2039473718","https://openalex.org/W3023605104","https://openalex.org/W2383578611","https://openalex.org/W2564375980","https://openalex.org/W4286646204","https://openalex.org/W2101105382"],"abstract_inverted_index":{"A":[0],"first-person":[1,41,51,84,141,178,232],"video":[2],"delivers":[3],"what":[4],"the":[5,27,34,50,55,71,74,83,91,98,102,106,118,122,132,140,145,149,171,177,188,214],"camera":[6,56,151],"wearer":[7],"(actor)":[8],"experiences":[9],"through":[10],"physical":[11,46,99,124,134,146],"interactions":[12],"with":[13,148,242],"surroundings.":[14],"In":[15],"this":[16],"paper,":[17],"we":[18,186],"focus":[19],"on":[20,217],"a":[21,40,61,112],"problem":[22],"of":[23,63,73,97,101,121,176,207,234],"Force":[24],"from":[25,170],"Motion-estimating":[26],"active":[28,75,107,223],"force":[29,64,76,108],"and":[30,109,128,159,165,173,209,212,244],"torque":[31,110],"exerted":[32],"by":[33,60,139,181,191],"actor":[35],"to":[36,69,89,157,202,231],"drive":[37],"her/his":[38],"activity-from":[39],"video.":[42,52,142,179],"We":[43,104,143,227],"use":[44],"two":[45],"cues":[47],"inherited":[48],"in":[49,205],"(1)":[53],"Ego-motion:":[54],"motion":[57],"is":[58,87,95,136,154],"generated":[59],"resultant":[62],"interactions,":[65],"which":[66,94],"allows":[67],"us":[68],"understand":[70],"effect":[72],"using":[77,111],"Newtonian":[78],"mechanics.":[79],"(2)":[80],"Visual":[81],"semantics:":[82],"visual":[85,174],"scene":[86],"deployed":[88],"afford":[90],"actor's":[92,123],"activity,":[93],"indicative":[96],"context":[100],"activity.":[103],"estimate":[105],"dynamical":[113,189],"system":[114,190],"that":[115,153],"can":[116],"describe":[117],"transition":[119],"(dynamics)":[120],"state":[125,135,147],"(position,":[126],"orientation,":[127],"linear/angular":[129],"momentum)":[130],"where":[131,247],"latent":[133],"indirectly":[137],"observed":[138],"approximate":[144],"3D":[150],"trajectory":[152],"reconstructed":[155],"up":[156],"scale":[158,163,210],"orientation.":[160],"The":[161],"absolute":[162],"factor":[164],"gravitation":[166],"field":[167],"are":[168,250],"learned":[169],"ego-motion":[172],"semantics":[175],"Inspired":[180],"an":[182,222],"optimal":[183],"control":[184],"theory,":[185],"solve":[187],"minimizing":[192],"reprojection":[193],"error.":[194],"Our":[195],"method":[196,230],"shows":[197],"quantitatively":[198],"equivalent":[199],"reconstruction":[200],"comparing":[201],"IMU":[203],"measurements":[204,249],"terms":[206],"gravity":[208],"recovery":[211],"outperforms":[213],"methods":[215],"based":[216],"2D":[218],"optical":[219],"flow":[220],"for":[221],"action":[224],"recognition":[225],"task.":[226],"apply":[228],"our":[229],"videos":[233],"mountain":[235],"biking,":[236],"urban":[237],"bike":[238],"racing,":[239],"skiing,":[240],"speedflying":[241],"parachute,":[243],"wingsuit":[245],"flying":[246],"inertial":[248],"not":[251],"accessible.":[252]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}