{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T02:08:01Z","timestamp":1778983681501,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,16]],"date-time":"2021-07-16T00:00:00Z","timestamp":1626393600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["No. 2017YFB1002802"],"award-info":[{"award-number":["No. 2017YFB1002802"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,16]]},"DOI":"10.1145\/3479162.3479170","type":"proceedings-article","created":{"date-parts":[[2021,10,28]],"date-time":"2021-10-28T12:24:00Z","timestamp":1635423840000},"page":"52-58","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["CAPG-MYO: A Muscle-Computer Interface Supporting User-defined Gesture Recognition"],"prefix":"10.1145","author":[{"given":"Qingfeng","family":"Dai","sequence":"first","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiangdong","family":"Li","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Weidong","family":"Geng","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenguang","family":"Jin","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiubo","family":"Liang","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/SVR.2016.21"},{"key":"e_1_3_2_1_2_1","volume-title":"Abdulmotaleb El Saddik, and Mohan S Kankanhalli","author":"Atrey Pradeep K","year":"2010","unstructured":"Pradeep K Atrey, M Anwar Hossain, Abdulmotaleb El Saddik, and Mohan S Kankanhalli. 2010. Multimodal fusion for multimedia analysis: a survey. Multimedia systems 16, 6 (2010), 345\u2013379."},{"key":"e_1_3_2_1_3_1","volume-title":"Simone Elsig, Giorgio Giatsidis, Franco Bassetto, and Henning M\u00fcller.","author":"Atzori Manfredo","year":"2014","unstructured":"Manfredo Atzori, Arjan Gijsberts, Claudio Castellini, Barbara Caputo, Anne-Gabrielle Mittaz Hager, Simone Elsig, Giorgio Giatsidis, Franco Bassetto, and Henning M\u00fcller. 2014. Electromyography data for non-invasive naturally-controlled robotic hand prostheses. Scientific data 1, 1 (2014), 1\u201313."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19122811"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2015.2432679"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17030458"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2020.3000310"},{"key":"e_1_3_2_1_8_1","volume-title":"An embedded, eight channel, noise canceling, wireless, wearable sEMG data acquisition system with adaptive muscle contraction detection","author":"Ergeneci Mert","year":"2017","unstructured":"Mert Ergeneci, Kaan Gokcesu, Erhan Ertan, and Panagiotis Kosmas. 2017. An embedded, eight channel, noise canceling, wireless, wearable sEMG data acquisition system with adaptive muscle contraction detection. IEEE transactions on biomedical circuits and systems 12, 1 (2017), 68\u201379."},{"key":"e_1_3_2_1_9_1","volume-title":"Gesture recognition by instantaneous surface EMG images. Scientific reports 6, 1","author":"Geng Weidong","year":"2016","unstructured":"Weidong Geng, Yu Du, Wenguang Jin, Wentao Wei, Yu Hu, and Jiajun Li. 2016. Gesture recognition by instantaneous surface EMG images. Scientific reports 6, 1 (2016), 1\u20138."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/10.204774"},{"key":"e_1_3_2_1_11_1","volume-title":"Retrieved","author":"Analog Devices Inc.","year":"1965","unstructured":"Analog Devices Inc. 1965. AD8609. Retrieved May 27, 2021 from https:\/\/www.analog.com"},{"key":"e_1_3_2_1_12_1","volume-title":"Retrieved","author":"DELSYS","year":"2003","unstructured":"DELSYS INCORPORATED. 2003. Delsys Trigno Avanti Sensor. Retrieved May 27, 2021 from https:\/\/www.delsys.com\/trigno\/research\/#trigno-avanti- sensor"},{"key":"e_1_3_2_1_13_1","first-page":"1","article-title":"Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury","volume":"13","author":"Jordanic Mislav","year":"2016","unstructured":"Mislav Jordanic, M\u00f3nica Rojas-Mart\u00ednez, Miguel Angel Ma\u00f1anas, and Joan Francesc Alonso. 2016. Spatial distribution of HD-EMG improves identification of task and force in patients with incomplete spinal cord injury. Journal ofneuroengineering and rehabilitation 13, 1 (2016), 1\u201311.","journal-title":"Journal ofneuroengineering and rehabilitation"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17071597"},{"key":"e_1_3_2_1_15_1","volume-title":"Retrieved","author":"Labs Thalmics","year":"2013","unstructured":"Thalmics Labs. 2013. MYO Armband. Retrieved May 27, 2021 from https:\/\/support.getmyo.com\/hc\/en-us"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.microrel.2019.04.007"},{"key":"e_1_3_2_1_17_1","volume-title":"Retrieved","author":"OYMOTION TECHNOLOGIES CO.","year":"2017","unstructured":"OYMOTION TECHNOLOGIES CO. LTD. 2017. Oymotion G-Force pro. Retrieved May 27, 2021 from http:\/\/www.oymotion.com\/site"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2840848"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2017.2687761"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/SMC.2017.8122749"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-25332-5_1"},{"key":"e_1_3_2_1_22_1","volume-title":"Feature reduction and selection for EMG signal classification. Expert systems with applications 39, 8","author":"Phinyomark Angkoon","year":"2012","unstructured":"Angkoon Phinyomark, Pornchai Phukpattaranont, and Chusak Limsakul. 2012. Feature reduction and selection for EMG signal classification. Expert systems with applications 39, 8 (2012), 7420\u20137431."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0186132"},{"key":"e_1_3_2_1_24_1","first-page":"1","article-title":"High-density surface EMG maps from upper-arm and forearm muscles","volume":"9","author":"Rojas-Mart\u00ednez Monica","year":"2012","unstructured":"Monica Rojas-Mart\u00ednez, Miguel A Ma\u00f1anas, and Joan F Alonso. 2012. High-density surface EMG maps from upper-arm and forearm muscles. Journal ofneuroengineering and rehabilitation 9, 1 (2012), 1\u201317.","journal-title":"Journal ofneuroengineering and rehabilitation"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/BIOSMART.2019.8734266"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-90688-4"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2019.2899222"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-019-08075-1"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1080\/0144929X.2018.1552313"},{"key":"e_1_3_2_1_30_1","first-page":"3320","article-title":"How transferable are features in deep neural networks","volume":"27","author":"Yosinski Jason","year":"2014","unstructured":"Jason Yosinski, Jeff Clune, Yoshua Bengio, and Hod Lipson. 2014. How transferable are features in deep neural networks? Advances in Neural Information Processing Systems 27 (2014), 3320\u20133328.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICUS50048.2020.9274853"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","unstructured":"Phuong Huynh Gregory Warner and Hong Lin \"Effects of EMD and Feature Extraction on EEG Analysis \" Journal of Advances in Information Technology Vol. 11 No. 1 pp. 26-34 February 2020. doi: 10.12720\/jait.11.1.26-3","DOI":"10.12720\/jait.11.1.26-3"}],"event":{"name":"ICCCM '21: The 2021 9th International Conference on Computer and Communications Management","location":"Singapore Singapore","acronym":"ICCCM '21"},"container-title":["Proceedings of the 9th International Conference on Computer and Communications Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3479162.3479170","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3479162.3479170","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,17]],"date-time":"2026-05-17T02:03:55Z","timestamp":1778983435000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3479162.3479170"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,16]]},"references-count":32,"alternative-id":["10.1145\/3479162.3479170","10.1145\/3479162"],"URL":"https:\/\/doi.org\/10.1145\/3479162.3479170","relation":{},"subject":[],"published":{"date-parts":[[2021,7,16]]},"assertion":[{"value":"2021-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}