{"id":"https://openalex.org/W4405271249","doi":"https://doi.org/10.1109/bsn63547.2024.10780593","title":"BAMS: Binary Sequence-Augmented Spectrogram with Self-Attention Deep Learning for Human Activity Recognition","display_name":"BAMS: Binary Sequence-Augmented Spectrogram with Self-Attention Deep Learning for Human Activity Recognition","publication_year":2024,"publication_date":"2024-10-15","ids":{"openalex":"https://openalex.org/W4405271249","doi":"https://doi.org/10.1109/bsn63547.2024.10780593"},"language":"en","primary_location":{"id":"doi:10.1109/bsn63547.2024.10780593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn63547.2024.10780593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Body Sensor Networks (BSN)","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/A5051994912","display_name":"Natchaya Sricom","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Natchaya Sricom","raw_affiliation_strings":["School of Information Science and Technology Vidyasirimedhi Institute of Science and Technology,Rayong,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology Vidyasirimedhi Institute of Science and Technology,Rayong,Thailand","institution_ids":["https://openalex.org/I4210153049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062616009","display_name":"Rujikorn Charakorn","orcid":null},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Rujikorn Charakorn","raw_affiliation_strings":["School of Information Science and Technology Vidyasirimedhi Institute of Science and Technology,Rayong,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology Vidyasirimedhi Institute of Science and Technology,Rayong,Thailand","institution_ids":["https://openalex.org/I4210153049"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034246691","display_name":"Poramate Manoonpong","orcid":"https://orcid.org/0000-0002-4806-7576"},"institutions":[{"id":"https://openalex.org/I4210153049","display_name":"Vidyasirimedhi Institute of Science and Technology","ror":"https://ror.org/053jehz60","country_code":"TH","type":"education","lineage":["https://openalex.org/I4210153049"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Poramate Manoonpong","raw_affiliation_strings":["School of Information Science and Technology Vidyasirimedhi Institute of Science and Technology,Rayong,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology Vidyasirimedhi Institute of Science and Technology,Rayong,Thailand","institution_ids":["https://openalex.org/I4210153049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065291662","display_name":"Tulaya Limpiti","orcid":null},"institutions":[{"id":"https://openalex.org/I91538806","display_name":"King Mongkut's Institute of Technology Ladkrabang","ror":"https://ror.org/055mf0v62","country_code":"TH","type":"education","lineage":["https://openalex.org/I91538806"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Tulaya Limpiti","raw_affiliation_strings":["School of Engineering King Mongkut's Institute of Technology Ladkrabang,Bangkok,Thailand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering King Mongkut's Institute of Technology Ladkrabang,Bangkok,Thailand","institution_ids":["https://openalex.org/I91538806"]}]}],"institutions":[],"countries_distinct_count":1,"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":0.20981925,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9650999903678894,"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":0.9650999903678894,"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/spectrogram","display_name":"Spectrogram","score":0.8701729774475098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707540154457092},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.5910435914993286},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5664975643157959},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5293959975242615},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5054433345794678},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4564710557460785},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.41822370886802673},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11424842476844788},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.11042308807373047},{"id":"https://openalex.org/keywords/genetics","display_name":"Genetics","score":0.07440891861915588},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06913280487060547}],"concepts":[{"id":"https://openalex.org/C45273575","wikidata":"https://www.wikidata.org/wiki/Q578970","display_name":"Spectrogram","level":2,"score":0.8701729774475098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707540154457092},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.5910435914993286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5664975643157959},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5293959975242615},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5054433345794678},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4564710557460785},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.41822370886802673},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11424842476844788},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.11042308807373047},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.07440891861915588},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06913280487060547}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bsn63547.2024.10780593","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bsn63547.2024.10780593","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 20th International Conference on Body Sensor Networks (BSN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2026297770","https://openalex.org/W2789868604","https://openalex.org/W2789876780","https://openalex.org/W2972942909","https://openalex.org/W3003257820","https://openalex.org/W3185580468","https://openalex.org/W3190389015","https://openalex.org/W4214514125","https://openalex.org/W4283722463","https://openalex.org/W4309930289","https://openalex.org/W4385245566","https://openalex.org/W6674330103","https://openalex.org/W6766978945","https://openalex.org/W6857502649"],"related_works":["https://openalex.org/W2530685530","https://openalex.org/W4375868962","https://openalex.org/W2011227383","https://openalex.org/W2088854863","https://openalex.org/W4402568167","https://openalex.org/W3179495260","https://openalex.org/W1976719989","https://openalex.org/W3127543252","https://openalex.org/W2897924318","https://openalex.org/W2138997758"],"abstract_inverted_index":{"Human":[0],"Activity":[1],"Recognition":[2],"(HAR)":[3],"has":[4],"rapidly":[5],"gained":[6],"interest":[7],"over":[8,166],"the":[9,129,139,171],"years":[10],"due":[11],"to":[12,43,104,131,162],"its":[13],"wide":[14],"range":[15],"of":[16,179],"applications":[17],"in":[18,52],"AI-based":[19],"systems,":[20],"particularly":[21,61],"healthcare":[22],"monitoring.":[23],"HAR":[24,78],"methods":[25,169],"typically":[26],"involve":[27],"extracting":[28],"relevant":[29],"features":[30],"from":[31,134],"data":[32,59,133],"provided":[33],"by":[34],"wearable":[35,95,135],"sensors,":[36,38,136],"smartphone":[37],"cameras,":[39],"or":[40],"their":[41],"combinations":[42],"classify":[44],"different":[45],"activities.":[46],"Nevertheless,":[47],"a":[48,76,114,123,148,185],"major":[49],"challenge":[50],"lies":[51],"achieving":[53],"high":[54],"classification":[55,172],"accuracy":[56,173],"with":[57,66,84,113,170],"limited":[58],"samples,":[60],"when":[62],"distinguishing":[63],"between":[64],"activities":[65],"similar":[67],"signal":[68],"attributes.":[69],"To":[70],"address":[71],"this":[72],"challenge,":[73],"we":[74],"propose":[75],"novel":[77],"method":[79,91,144,159],"called":[80],"BinAry":[81],"sequence-augmented":[82],"spectrograM":[83],"Self-attention":[85],"deep":[86],"learning":[87],"(BAMS).":[88],"Our":[89],"proposed":[90,143],"leverages":[92],"only":[93],"basic":[94],"sensor":[96,107],"data.":[97],"It":[98],"utilizes":[99],"short-time":[100],"Fourier":[101],"transform":[102],"spectrograms":[103],"extract":[105],"spatio-temporal":[106],"information.":[108],"The":[109,142,158],"spectrogram":[110],"is":[111,145,160],"integrated":[112],"binary":[115],"sequence":[116],"that":[117],"captures":[118],"movement":[119],"direction.":[120],"We":[121],"integrate":[122],"scaled":[124],"dot-product":[125],"self-attention":[126],"mechanism":[127],"into":[128],"model":[130],"prioritize":[132],"thereby":[137],"enhancing":[138],"model's":[140],"performance.":[141],"evaluated":[146],"on":[147],"public":[149],"dataset":[150],"using":[151],"leave-one-subject-out":[152],"cross-validation":[153],"for":[154,184],"efficacy":[155],"and":[156,175,181],"robustness.":[157],"found":[161],"achieve":[163],"significant":[164],"improvement":[165],"other":[167],"state-of-the-art":[168],"percentage":[174],"weighted":[176],"F-1":[177],"scores":[178],"88.06\u00b15.11":[180],"87.36\u00b15.96,":[182],"respectively,":[183],"twelve-activity":[186],"classification.":[187]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}