{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,11]],"date-time":"2024-09-11T08:23:17Z","timestamp":1726042997486},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030299323"},{"type":"electronic","value":"9783030299330"}],"license":[{"start":{"date-parts":[[2019,8,30]],"date-time":"2019-08-30T00:00:00Z","timestamp":1567123200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.1007\/978-3-030-29933-0_6","type":"book-chapter","created":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T10:32:58Z","timestamp":1567074778000},"page":"69-80","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Method of Intention Estimation for Human-Robot Interaction"],"prefix":"10.1007","author":[{"given":"Jing","family":"Luo","sequence":"first","affiliation":[]},{"given":"Chao","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Ning","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chenguang","family":"Yang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2019,8,30]]},"reference":[{"issue":"2","key":"6_CR1","doi-asserted-by":"publisher","first-page":"1447","DOI":"10.1109\/LRA.2019.2892591","volume":"4","author":"S Hang","year":"2019","unstructured":"Hang, S., et al.: Improved human-robot collaborative control of redundant robot for teleoperated minimally invasive surgery. IEEE Robot. Autom. Lett. 4(2), 1447\u20131453 (2019)","journal-title":"IEEE Robot. Autom. Lett."},{"unstructured":"Hang, S., Sandoval, J., Makhdoomi, M., et al.: Safety-enhanced human-robot interaction control of redundant robot for teleoperated minimally invasive surgery. In: 2018 IEEE International Conference on Robotics and Automation (ICRA), pp. 6611\u20136616. IEEE (2018)","key":"6_CR2"},{"issue":"3","key":"6_CR3","doi-asserted-by":"publisher","first-page":"451","DOI":"10.1080\/00207721.2018.1562128","volume":"50","author":"J Luo","year":"2019","unstructured":"Luo, J., et al.: Enhanced teleoperation performance using hybrid control and virtual fixture. Int. J. Syst. Sci. 50(3), 451\u2013462 (2019)","journal-title":"Int. J. Syst. Sci."},{"issue":"2","key":"6_CR4","doi-asserted-by":"publisher","first-page":"1950009","DOI":"10.1142\/S0219843619500099","volume":"16","author":"J Luo","year":"2019","unstructured":"Luo, J., et al.: A task learning mechanism for the telerobots. Int. J. Humanoid Robot. 16(2), 1950009 (2019)","journal-title":"Int. J. Humanoid Robot."},{"issue":"4","key":"6_CR5","doi-asserted-by":"publisher","first-page":"1948","DOI":"10.1109\/TMECH.2014.2360119","volume":"20","author":"P Geethanjali","year":"2015","unstructured":"Geethanjali, P., Ray, K.: A low-cost real-time research platform for EMG pattern recognition-based p\u00b0rosthetic hand. IEEE\/ASME Trans. Mechatron. 20(4), 1948\u20131955 (2015)","journal-title":"IEEE\/ASME Trans. Mechatron."},{"issue":"5","key":"6_CR6","doi-asserted-by":"publisher","first-page":"1017","DOI":"10.1109\/TNSRE.2018.2817498","volume":"26","author":"MG Jahromi","year":"2018","unstructured":"Jahromi, M.G., Parsaei, H., Zamani, A., Stashuk, D.W.: Cross comparison of motor unit potential features used in EMG signal decomposition. IEEE Trans. Neural Syst. Rehabil. Eng. 26(5), 1017\u20131025 (2018)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"7","key":"6_CR7","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1109\/LSP.2016.2636320","volume":"24","author":"J Ryu","year":"2017","unstructured":"Ryu, J., Lee, B.-H., Kim, D.-H.: sEMG signal-based lower limb human motion detection using a top and slope feature extraction algorithm. IEEE Signal Process. Lett. 24(7), 929\u2013932 (2017)","journal-title":"IEEE Signal Process. Lett."},{"issue":"2","key":"6_CR8","doi-asserted-by":"publisher","first-page":"155","DOI":"10.1109\/TBCAS.2014.2309252","volume":"8","author":"ASU Doulah","year":"2014","unstructured":"Doulah, A.S.U., Fattah, S.A., Zhu, W.-P., Ahmad, M.O., et al.: Wavelet domain feature extraction scheme based on dominant motor unit action potential of EMG signal for neuromuscular disease classification. IEEE Trans. Biomed. Circuits Syst. 8(2), 155\u2013164 (2014)","journal-title":"IEEE Trans. Biomed. Circuits Syst."},{"issue":"13","key":"6_CR9","doi-asserted-by":"publisher","first-page":"1642","DOI":"10.1177\/0278364912464668","volume":"31","author":"A Ajoudani","year":"2012","unstructured":"Ajoudani, A., Tsagarakis, N., Bicchi, A.: Tele-impedance: teleoperation with impedance regulation using a body\u2013machine interface. Int. J. Robot. Res. 31(13), 1642\u20131656 (2012)","journal-title":"Int. J. Robot. Res."},{"issue":"4","key":"6_CR10","doi-asserted-by":"publisher","first-page":"1064","DOI":"10.1109\/TSMCB.2012.2185843","volume":"42","author":"K Kiguchi","year":"2012","unstructured":"Kiguchi, K., Hayashi, Y.: An EMG-based control for an upper-limb power-assist exoskeleton robot. IEEE Trans. Syst., Man, Cybern. Part B (Cybernetics) 42(4), 1064\u20131071 (2012)","journal-title":"IEEE Trans. Syst., Man, Cybern. Part B (Cybernetics)"},{"issue":"7","key":"6_CR11","doi-asserted-by":"publisher","first-page":"4267","DOI":"10.1109\/TIE.2014.2387337","volume":"62","author":"J Han","year":"2015","unstructured":"Han, J., Ding, Q., Xiong, A., Zhao, X.: A state-space EMG model for the estimation of continuous joint movements. IEEE Trans. Ind. Electron. 62(7), 4267\u20134275 (2015)","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"12","key":"6_CR12","doi-asserted-by":"publisher","first-page":"1342","DOI":"10.1109\/TNSRE.2015.2502663","volume":"24","author":"Z Tang","year":"2016","unstructured":"Tang, Z., Yu, H., Cang, S.: Impact of load variation on joint angle estimation from surface EMG signals. IEEE Trans. Neural Syst. Rehabil. Eng. 24(12), 1342\u20131350 (2016)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"6_CR13","first-page":"1","volume":"99","author":"C Yang","year":"2018","unstructured":"Yang, C., et al.: Haptics electromyography perception and learning enhanced intelligence for teleoperated robot. IEEE Trans. Autom. Sci. Eng. 99, 1\u201310 (2018)","journal-title":"IEEE Trans. Autom. Sci. Eng."},{"issue":"4","key":"6_CR14","doi-asserted-by":"publisher","first-page":"940","DOI":"10.1109\/TNN.2003.813835","volume":"14","author":"P Jing","year":"2003","unstructured":"Jing, P., Heisterkamp, D.R., Dai, H.K.: LDA\/SVM driven nearest neighbor classification. IEEE Trans. Neural Netw. 14(4), 940\u2013942 (2003)","journal-title":"IEEE Trans. Neural Netw."},{"issue":"2","key":"6_CR15","doi-asserted-by":"publisher","first-page":"513","DOI":"10.1109\/TSMCB.2011.2168604","volume":"42","author":"GB Huang","year":"2012","unstructured":"Huang, G.B., Zhou, H., Ding, X., Zhang, R.: Extreme learning machine for regression and multiclass classification. IEEE Trans. Syst. Man Cybern. B Cybern. 42(2), 513\u2013529 (2012)","journal-title":"IEEE Trans. Syst. Man Cybern. B Cybern."}],"container-title":["Advances in Intelligent Systems and Computing","Advances in Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-29933-0_6","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,29]],"date-time":"2019-08-29T10:34:00Z","timestamp":1567074840000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-030-29933-0_6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,8,30]]},"ISBN":["9783030299323","9783030299330"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-29933-0_6","relation":{},"ISSN":["2194-5357","2194-5365"],"issn-type":[{"type":"print","value":"2194-5357"},{"type":"electronic","value":"2194-5365"}],"subject":[],"published":{"date-parts":[[2019,8,30]]},"assertion":[{"value":"30 August 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"UKCI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"UK Workshop on Computational Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Portsmouth","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Kingdom","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2019","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11 September 2019","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2019","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ukci2019","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}