{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T15:05:46Z","timestamp":1777734346643,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,27]],"date-time":"2024-06-27T00:00:00Z","timestamp":1719446400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M661686"],"award-info":[{"award-number":["2019M661686"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Natural Science Foundation of the Jiangsu Higher Education Institutions of China","award":["21KJB510049"],"award-info":[{"award-number":["21KJB510049"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,27]]},"DOI":"10.1145\/3674746.3674755","type":"proceedings-article","created":{"date-parts":[[2024,8,21]],"date-time":"2024-08-21T18:26:08Z","timestamp":1724264768000},"page":"50-56","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Development of a Six-Channel Wearable Electromyography Sensor for hand movement intention recognition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1281-7881","authenticated-orcid":false,"given":"Changcheng","family":"Wu","sequence":"first","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, China and \rCollege of Automation , Nanjing University of Aeronautic and Astronautic, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-9427-4059","authenticated-orcid":false,"given":"Zeran","family":"Yue","sequence":"additional","affiliation":[{"name":"College of Automation, Nanjing University of Aeronautic and Astronautic, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-7449-0071","authenticated-orcid":false,"given":"Qingqing","family":"Cao","sequence":"additional","affiliation":[{"name":"School of Aeronautic Engineering, Nanjing Vocational University of Industry Technology, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-2191-0657","authenticated-orcid":false,"given":"Ting","family":"Fang","sequence":"additional","affiliation":[{"name":"College of Automation, Nanjing University of Aeronautic and Astronautic, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6628-0525","authenticated-orcid":false,"given":"Fei","family":"Fei","sequence":"additional","affiliation":[{"name":"College of Automation, Nanjing University of Aeronautic and Astronautic, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1982-6780","authenticated-orcid":false,"given":"Aiguo","family":"Song","sequence":"additional","affiliation":[{"name":"School of Instrument Science and Engineering, Southeast University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,8,21]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"59","article-title":"Investigation of gesture recognition using attention mechanism CNN combined electromyography feature matrix","volume":"2023","author":"Zhao S","year":"2023","unstructured":"Zhao S, Zhou J, Fu Y. 2023. Investigation of gesture recognition using attention mechanism CNN combined electromyography feature matrix. Journal of Electronic Measurement and Instrumentation, 2023, 37(06):59-67.","journal-title":"Journal of Electronic Measurement and Instrumentation"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3389\/fneur.2020.560363"},{"key":"e_1_3_2_1_3_1","article-title":"Intelligent human computer interaction based on non redundant EMG signal","volume":"2020","author":"Sun Y","year":"2020","unstructured":"Sun Y, Xu C, Li G, 2020. Intelligent human computer interaction based on non redundant EMG signal. Alexandria Engineering Journal, 2020, 59(3): 1149-1157.","journal-title":"Alexandria Engineering Journal"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3389\/frobt.2022.948238"},{"key":"e_1_3_2_1_5_1","article-title":"Portable EMG Data Acquisition Module for Upper Limb Prosthesis Application","volume":"2018","author":"Sidharth P, M. A J.","year":"2018","unstructured":"Sidharth P, M. A J. 2018. Portable EMG Data Acquisition Module for Upper Limb Prosthesis Application. IEEE Sensors Journal, 2018, 18(8):3436-3443.","journal-title":"IEEE Sensors Journal"},{"key":"e_1_3_2_1_6_1","volume-title":"Basis and Communications","author":"Pibul N S","year":"2023","unstructured":"Pibul N S, Phukpattaranont P. Grasping force estimation form two-channel electromyography signals using extreme learning machine. Biomedical Engineering: Applications, Basis and Communications, 2023, 36(01)."},{"key":"e_1_3_2_1_7_1","first-page":"369115121","article-title":"RESPIPulse: Machine learning assisted sensory device for pulsed mode delivery of oxygen bolus using surface electromyography (sEMG) signals","volume":"2024","author":"Mondal A","year":"2024","unstructured":"Mondal A, Dutta D, Chanda N, 2024. RESPIPulse: Machine learning assisted sensory device for pulsed mode delivery of oxygen bolus using surface electromyography (sEMG) signals. Sensors and Actuators: A. Physical, 2024, 369115121-.","journal-title":"Sensors and Actuators: A. Physical"},{"key":"e_1_3_2_1_8_1","first-page":"93106162","article-title":"Data-driven estimation for uphill continuous rehabilitation motion at different slopes using sEMG","volume":"2024","author":"Tian D","year":"2024","unstructured":"Tian D, Li F, He Y, 2024. Data-driven estimation for uphill continuous rehabilitation motion at different slopes using sEMG. Biomedical Signal Processing and Control, 2024, 93106162-.","journal-title":"Biomedical Signal Processing and Control"},{"key":"e_1_3_2_1_9_1","volume-title":"Bru S L J","author":"Bou J J N","year":"2024","unstructured":"Bou J J N, Vergara M, Bru S L J. 2024. Does exerting grasps involve a finite set of muscle patterns? A study of intra- and intersubject variability of forearm sEMG signals in seven grasp types. IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society, 2024, 1505\u00a0- 1514."},{"key":"e_1_3_2_1_10_1","volume-title":"Multi-view fusion network-based gesture recognition using sEMG data","author":"Li G","year":"2023","unstructured":"Li G, Zou C, Jiang G, 2023. Multi-view fusion network-based gesture recognition using sEMG data. IEEE journal of biomedical and health informatics, 2023, 1-13."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.heliyon.2024.e26763"},{"key":"e_1_3_2_1_12_1","article-title":"Clinical Features to Predict the Use of a sEMG Wearable Device (REMOsup\u00ae\/sup) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study","volume":"2023","author":"Giorgia P","year":"2023","unstructured":"Giorgia P, Daniele R, Francesca B, 2023. Clinical Features to Predict the Use of a sEMG Wearable Device (REMOsup\u00ae\/sup) for Hand Motor Training of Stroke Patients: A Cross-Sectional Cohort Study. International Journal of Environmental Research and Public Health, 2023, 20(6):5082-5082.","journal-title":"International Journal of Environmental Research and Public Health"},{"key":"e_1_3_2_1_13_1","article-title":"Control of external devices based on sEMG signals","volume":"2022","author":"Cao F","year":"2022","unstructured":"Cao F, Peng F, Chen S, 2022. Control of external devices based on sEMG signals. Academic Journal of Computing Information Science, 2022, 5(14):","journal-title":"Academic Journal of Computing Information Science"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TIM.2022.3217868","article-title":". User-Tailored Hand Gesture Recognition System for Wearable Prosthesis and Armband Based on Surface Electromyogram","volume":"2022","author":"Meng L","year":"2022","unstructured":"Meng L, Jiang X, Liu X, 2022. User-Tailored Hand Gesture Recognition System for Wearable Prosthesis and Armband Based on Surface Electromyogram. IEEE Transactions on Instrumentation and Measurement, 2022,1-16.","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_3_2_1_15_1","first-page":"60","article-title":"Are armband sEMG devices dense enough for long-term use?\u2014Sensor placement shifts cause significant reduction in recognition accuracy","volume":"2020","author":"Kanoga S","year":"2020","unstructured":"Kanoga S, Kanemura A, Asoh H. 2020. Are armband sEMG devices dense enough for long-term use?\u2014Sensor placement shifts cause significant reduction in recognition accuracy. Biomedical Signal Processing and Control, 2020, 60.","journal-title":"Biomedical Signal Processing and Control"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11036-020-01590-8"}],"event":{"name":"RobCE 2024: 2024 4th International Conference on Robotics and Control Engineering","location":"Edinburgh United Kingdom","acronym":"RobCE 2024"},"container-title":["Proceedings of the 2024 4th International Conference on Robotics and Control Engineering"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674746.3674755","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3674746.3674755","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T01:47:36Z","timestamp":1755913656000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3674746.3674755"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,27]]},"references-count":16,"alternative-id":["10.1145\/3674746.3674755","10.1145\/3674746"],"URL":"https:\/\/doi.org\/10.1145\/3674746.3674755","relation":{},"subject":[],"published":{"date-parts":[[2024,6,27]]},"assertion":[{"value":"2024-08-21","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}