{"id":"https://openalex.org/W4414161106","doi":"https://doi.org/10.1145/3743741","title":"Contextra: Detecting Object Grasps With Low-Power Cameras and Sensor Fusion On the Wrist MHCI006","display_name":"Contextra: Detecting Object Grasps With Low-Power Cameras and Sensor Fusion On the Wrist MHCI006","publication_year":2025,"publication_date":"2025-09-09","ids":{"openalex":"https://openalex.org/W4414161106","doi":"https://doi.org/10.1145/3743741"},"language":"en","primary_location":{"id":"doi:10.1145/3743741","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3743741","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1145/3743741","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051445111","display_name":"Nathan DeVrio","orcid":"https://orcid.org/0000-0002-7498-2567"},"institutions":[{"id":"https://openalex.org/I4210128676","display_name":"Human Computer Interaction (Switzerland)","ror":"https://ror.org/036dv6j71","country_code":"CH","type":"company","lineage":["https://openalex.org/I4210128676"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["CH","US"],"is_corresponding":false,"raw_author_name":"Nathan DeVrio","raw_affiliation_strings":["Carnegie Mellon University","Human-Computer Interaction Institute"],"raw_orcid":"https://orcid.org/0000-0002-7498-2567","affiliations":[{"raw_affiliation_string":"Carnegie Mellon University","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Human-Computer Interaction Institute","institution_ids":["https://openalex.org/I4210128676"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062024584","display_name":"Roger Bold\u00fa","orcid":"https://orcid.org/0000-0003-3745-3516"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Roger Boldu","raw_affiliation_strings":["Meta Reality Labs","Meta Reality Labs, Redmond, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-3745-3516","affiliations":[{"raw_affiliation_string":"Meta Reality Labs","institution_ids":["https://openalex.org/I4210128585"]},{"raw_affiliation_string":"Meta Reality Labs, Redmond, Washington, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085571748","display_name":"Eric Whitmire","orcid":"https://orcid.org/0000-0001-7715-7557"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Whitmire","raw_affiliation_strings":["Meta Reality Labs","Meta Reality Labs, Redmond, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0001-7715-7557","affiliations":[{"raw_affiliation_string":"Meta Reality Labs","institution_ids":["https://openalex.org/I4210128585"]},{"raw_affiliation_string":"Meta Reality Labs, Redmond, Washington, USA","institution_ids":["https://openalex.org/I4210128585"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047876262","display_name":"Wolf Kienzle","orcid":"https://orcid.org/0000-0003-4962-751X"},"institutions":[{"id":"https://openalex.org/I4210128585","display_name":"META Health","ror":"https://ror.org/035h67p10","country_code":"US","type":"other","lineage":["https://openalex.org/I4210128585"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wolf Kienzle","raw_affiliation_strings":["Meta","Reality Labs","Meta, Reality Labs, Seattle, Washington, USA"],"raw_orcid":"https://orcid.org/0000-0003-4962-751X","affiliations":[{"raw_affiliation_string":"Meta","institution_ids":[]},{"raw_affiliation_string":"Reality Labs","institution_ids":[]},{"raw_affiliation_string":"Meta, Reality Labs, Seattle, Washington, USA","institution_ids":["https://openalex.org/I4210128585"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.20050548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"9","issue":"5","first_page":"1","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.995199978351593,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.995199978351593,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11800","display_name":"User Authentication and Security Systems","score":0.9904000163078308,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/fuse","display_name":"Fuse (electrical)","score":0.6883999705314636},{"id":"https://openalex.org/keywords/inertial-measurement-unit","display_name":"Inertial measurement unit","score":0.6238999962806702},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.6104999780654907},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5995000004768372},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5867000222206116},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5590000152587891},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.4375999867916107}],"concepts":[{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7293999791145325},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.6883999705314636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6869999766349792},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.667900025844574},{"id":"https://openalex.org/C79061980","wikidata":"https://www.wikidata.org/wiki/Q941680","display_name":"Inertial measurement unit","level":2,"score":0.6238999962806702},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.6104999780654907},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5995000004768372},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5867000222206116},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.4375999867916107},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.4020000100135803},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.39259999990463257},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.35740000009536743},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3190000057220459},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.30730000138282776},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2754000127315521},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.25769999623298645},{"id":"https://openalex.org/C64876066","wikidata":"https://www.wikidata.org/wiki/Q5141226","display_name":"Cognitive neuroscience of visual object recognition","level":3,"score":0.2549999952316284},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.25429999828338623}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3743741","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3743741","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1145/3743741","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3743741","pdf_url":null,"source":{"id":"https://openalex.org/S4210183893","display_name":"Proceedings of the ACM on Human-Computer Interaction","issn_l":"2573-0142","issn":["2573-0142"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM on Human-Computer Interaction","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1976228840","https://openalex.org/W1980592899","https://openalex.org/W1981446964","https://openalex.org/W1987220739","https://openalex.org/W1993138654","https://openalex.org/W2015578202","https://openalex.org/W2019547100","https://openalex.org/W2086147925","https://openalex.org/W2099800354","https://openalex.org/W2122591640","https://openalex.org/W2154266474","https://openalex.org/W2234488433","https://openalex.org/W2252227770","https://openalex.org/W2295462083","https://openalex.org/W2538172027","https://openalex.org/W2552836698","https://openalex.org/W2609014753","https://openalex.org/W2615003974","https://openalex.org/W2737848624","https://openalex.org/W2886903801","https://openalex.org/W2907305830","https://openalex.org/W2910545810","https://openalex.org/W2922482810","https://openalex.org/W2940771345","https://openalex.org/W2967869116","https://openalex.org/W3001686642","https://openalex.org/W3032005972","https://openalex.org/W3035531123","https://openalex.org/W3093964127","https://openalex.org/W3142504421","https://openalex.org/W4210999225","https://openalex.org/W4285505601","https://openalex.org/W4307472574","https://openalex.org/W4362597667","https://openalex.org/W4366548899","https://openalex.org/W4385696303","https://openalex.org/W4387612070"],"related_works":["https://openalex.org/W2163296013","https://openalex.org/W2743859443","https://openalex.org/W2326995835","https://openalex.org/W165915117","https://openalex.org/W2059402478","https://openalex.org/W2123347777","https://openalex.org/W4387804363","https://openalex.org/W2019547100","https://openalex.org/W2477150073","https://openalex.org/W2785359964"],"abstract_inverted_index":{"Knowing":[0],"when":[1,54],"a":[2,9,45,55,118],"user":[3,56],"picks":[4],"up":[5,37],"an":[6,99],"object":[7],"plays":[8],"vital":[10],"role":[11,120],"in":[12,70,121],"many":[13],"context-aware":[14],"applications.":[15],"For":[16],"example,":[17],"tracking":[18],"water":[19],"consumption,":[20],"counting":[21],"calories":[22],"consumed,":[23],"or":[24],"reminding":[25],"you":[26],"to":[27,52,67,102,107,128,141],"bring":[28],"your":[29],"keys":[30],"are":[31],"all":[32,62],"context-centered":[33],"scenarios":[34],"involving":[35],"picking":[36],"objects.":[38,58],"In":[39,76],"this":[40],"project,":[41],"we":[42,79,113],"propose":[43],"Contextra,":[44],"wrist-worn":[46],"system":[47],"that":[48,136],"uses":[49],"sensor":[50],"fusion":[51,60],"recognize":[53],"grasps":[57,111],"Sensor":[59],"allows":[61],"parts":[63],"of":[64,125,132],"the":[65,108,130],"grasp":[66],"be":[68],"sensed":[69],"ways":[71],"single":[72],"channels":[73],"cannot":[74,137],"alone.":[75],"our":[77],"wristband,":[78],"fuse":[80],"EMG":[81],"and":[82,143],"IMU":[83],"data":[84],"with":[85],"video":[86],"captured":[87],"from":[88],"three":[89],"low-power":[90],"IR":[91],"cameras.":[92],"These":[93],"cameras":[94],"maintain":[95],"privacy":[96,144],"by":[97],"using":[98],"active-illumination":[100],"technique":[101],"only":[103],"capture":[104],"features":[105],"close":[106],"sensors.":[109],"Beyond":[110],"alone,":[112],"see":[114],"Contextra":[115],"as":[116],"playing":[117],"foundational":[119],"providing":[122],"continuous":[123],"awareness":[124],"context":[126],"triggers":[127],"extend":[129],"functionality":[131],"existing":[133],"AI":[134],"devices":[135],"run":[138],"continuously":[139],"due":[140],"power":[142],"concerns.":[145]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}