{"id":"https://openalex.org/W3209059081","doi":"https://doi.org/10.1109/haptics52432.2022.9765606","title":"Enhancing Haptic Distinguishability of Surface Materials With Boosting Technique","display_name":"Enhancing Haptic Distinguishability of Surface Materials With Boosting Technique","publication_year":2022,"publication_date":"2022-03-21","ids":{"openalex":"https://openalex.org/W3209059081","doi":"https://doi.org/10.1109/haptics52432.2022.9765606","mag":"3209059081"},"language":"en","primary_location":{"id":"doi:10.1109/haptics52432.2022.9765606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/haptics52432.2022.9765606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Haptics Symposium (HAPTICS)","raw_type":"proceedings-article"},"type":"preprint","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/A5110622688","display_name":"K. Nivedita Priyadarshini","orcid":null},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Priyadarshini K","raw_affiliation_strings":["IIT Bombay and Sony AI,Department of Electrical Engineering,Tokyo","Department of Electrical Engineering, IIT Bombay","Department of Electrical Engineering, IIT Bombay and Sony AI, Tokyo"],"affiliations":[{"raw_affiliation_string":"IIT Bombay and Sony AI,Department of Electrical Engineering,Tokyo","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, IIT Bombay","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, IIT Bombay and Sony AI, Tokyo","institution_ids":["https://openalex.org/I162827531"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016405213","display_name":"Subhasis Chaudhuri","orcid":"https://orcid.org/0000-0002-1680-0016"},"institutions":[{"id":"https://openalex.org/I162827531","display_name":"Indian Institute of Technology Bombay","ror":"https://ror.org/02qyf5152","country_code":"IN","type":"education","lineage":["https://openalex.org/I162827531"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Subhasis Chaudhuri","raw_affiliation_strings":["IIT Bombay and Sony AI,Department of Electrical Engineering,Tokyo","Department of Electrical Engineering, IIT Bombay and Sony AI, Tokyo"],"affiliations":[{"raw_affiliation_string":"IIT Bombay and Sony AI,Department of Electrical Engineering,Tokyo","institution_ids":["https://openalex.org/I162827531"]},{"raw_affiliation_string":"Department of Electrical Engineering, IIT Bombay and Sony AI, Tokyo","institution_ids":["https://openalex.org/I162827531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110622688"],"corresponding_institution_ids":["https://openalex.org/I162827531"],"apc_list":null,"apc_paid":null,"fwci":0.48156274,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.52094623,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"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/T10914","display_name":"Tactile and Sensory Interactions","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10914","display_name":"Tactile and Sensory Interactions","score":0.9911999702453613,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11687","display_name":"Teleoperation and Haptic Systems","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9664000272750854,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/discriminative-model","display_name":"Discriminative model","score":0.9469639658927917},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.8287571668624878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7658658623695374},{"id":"https://openalex.org/keywords/haptic-technology","display_name":"Haptic technology","score":0.7199148535728455},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6840612292289734},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6666703820228577},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5465148091316223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4268021583557129}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9469639658927917},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8287571668624878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7658658623695374},{"id":"https://openalex.org/C152086174","wikidata":"https://www.wikidata.org/wiki/Q3030571","display_name":"Haptic technology","level":2,"score":0.7199148535728455},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6840612292289734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6666703820228577},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5465148091316223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4268021583557129}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/haptics52432.2022.9765606","is_oa":false,"landing_page_url":"https://doi.org/10.1109/haptics52432.2022.9765606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Haptics Symposium (HAPTICS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7699999809265137}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1513648806","https://openalex.org/W1514388995","https://openalex.org/W1544007523","https://openalex.org/W1578080815","https://openalex.org/W1672197616","https://openalex.org/W1976494093","https://openalex.org/W2002874739","https://openalex.org/W2021455339","https://openalex.org/W2062558416","https://openalex.org/W2063517774","https://openalex.org/W2079883361","https://openalex.org/W2080317558","https://openalex.org/W2106238360","https://openalex.org/W2107780715","https://openalex.org/W2117154949","https://openalex.org/W2136261952","https://openalex.org/W2144935315","https://openalex.org/W2158662820","https://openalex.org/W2187089797","https://openalex.org/W2552248783","https://openalex.org/W2944360031","https://openalex.org/W2963015618","https://openalex.org/W2963654998","https://openalex.org/W2967103811","https://openalex.org/W2970678032","https://openalex.org/W2987598202","https://openalex.org/W6632558652","https://openalex.org/W6666137872","https://openalex.org/W6677328822","https://openalex.org/W6680332746","https://openalex.org/W6680962578","https://openalex.org/W6770247643"],"related_works":["https://openalex.org/W156716224","https://openalex.org/W2111871955","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2116862786","https://openalex.org/W3082059448","https://openalex.org/W4313640622"],"abstract_inverted_index":{"Discriminative":[0],"features":[1,22,67],"are":[2,16],"crucial":[3],"for":[4,19,51,90],"several":[5],"learning":[6],"applications,":[7],"such":[8,43],"as":[9],"object":[10],"detection":[11],"and":[12,25,68,93],"classification.":[13],"Neural":[14],"networks":[15],"extensively":[17],"used":[18],"extracting":[20],"discriminative":[21,56],"of":[23,31,42,54,58,65,77],"images":[24],"speech":[26],"signals.":[27,60,79],"However,":[28],"the":[29,35,40,52,55,63,75,95],"lack":[30],"large":[32],"datasets":[33],"in":[34,73],"haptics":[36],"domain":[37],"often":[38],"limits":[39],"applicability":[41],"techniques.":[44],"This":[45],"paper":[46],"presents":[47],"a":[48,69],"general":[49],"framework":[50,83],"analysis":[53],"properties":[57],"haptic":[59,78],"We":[61],"demonstrate":[62],"effectiveness":[64],"spectral":[66],"boosted":[70],"embedding":[71],"technique":[72],"enhancing":[74],"distinguishability":[76],"Experiments":[80],"indicate":[81],"our":[82],"needs":[84],"less":[85],"training":[86],"data,":[87],"generalizes":[88],"well":[89],"different":[91],"predictors,":[92],"outperforms":[94],"related":[96],"state-of-the-art.":[97]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}