{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T22:56:29Z","timestamp":1780440989673,"version":"3.54.1"},"reference-count":22,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T00:00:00Z","timestamp":1679961600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T00:00:00Z","timestamp":1679961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/501100003621","name":"Ministry of Science, ICT and Future Planning","doi-asserted-by":"publisher","award":["No. 2019R1C1C1002049"],"award-info":[{"award-number":["No. 2019R1C1C1002049"]}],"id":[{"id":"10.13039\/501100003621","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Intell Robot Syst"],"published-print":{"date-parts":[[2023,4]]},"DOI":"10.1007\/s10846-023-01843-0","type":"journal-article","created":{"date-parts":[[2023,3,28]],"date-time":"2023-03-28T13:02:54Z","timestamp":1680008574000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Divergent Component of Motion-Based Gait Intention Detection Method Using Motion Information From Single Leg"],"prefix":"10.1007","volume":"107","author":[{"given":"Hye-Won","family":"Oh","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6174-6442","authenticated-orcid":false,"given":"Young-Dae","family":"Hong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,3,28]]},"reference":[{"key":"1843_CR1","doi-asserted-by":"crossref","unstructured":"Neuhaus, P.-D. et al.: Design and evaluation of Mina: a robotic orthosis for paraplegics, in Proc. IEEE Int. Conf. Rehab. Robot.\u00a01\u20138 (2011)","DOI":"10.1109\/ICORR.2011.5975468"},{"issue":"6","key":"1843_CR2","doi-asserted-by":"publisher","first-page":"652","DOI":"10.1109\/TNSRE.2011.2163083","volume":"19","author":"R-J Farris","year":"2011","unstructured":"Farris, R.-J., Quintero, H.-A., Goldfarb, M.: Preliminary evaluation of a powered lower limb orthosis to aid walking in paraplegic individuals. IEEE Trans. Neural. Syst. Rehabil. Eng. 19(6), 652\u2013659 (2011)","journal-title":"IEEE Trans. Neural. Syst. Rehabil. Eng."},{"key":"1843_CR3","doi-asserted-by":"crossref","unstructured":"Talaty, M., Esquenazi, A., Briceno, J. E.: Differentiating ability in users of the ReWalk \u2122 powered exoskeleton: an analysis of walking kinematics, in Proc. IEEE\u00a013th\u00a0Int. Conf. Rehabil. Robot. 1\u20135, (2013)","DOI":"10.1109\/ICORR.2013.6650469"},{"issue":"4","key":"1843_CR4","doi-asserted-by":"publisher","first-page":"872","DOI":"10.1109\/TRO.2008.926860","volume":"24","author":"C Fleischer","year":"2008","unstructured":"Fleischer, C., Hommel, G.: A human-exoskeleton interface utilizing electromyography. IEEE Trans. Robot. 24(4), 872\u2013882 (2008)","journal-title":"IEEE Trans. Robot."},{"key":"1843_CR5","doi-asserted-by":"publisher","first-page":"25","DOI":"10.1007\/978-3-642-14743-2_3","volume":"66","author":"Y Sankai","year":"2010","unstructured":"Sankai, Y.: HAL: Hybrid assistive limb based on cybernetics. Robot. Res. 66, 25\u201334 (2010)","journal-title":"Robot. Res."},{"key":"1843_CR6","first-page":"2997","volume":"2011","author":"F Zhang","year":"2011","unstructured":"Zhang, F., et al.: Real-time implementation of an intent recognition system for artificial legs. Proc. Conf. IEEE Eng. Med. Biol. Soc. 2011, 2997\u20133000 (2011)","journal-title":"Proc. Conf. IEEE Eng. Med. Biol. Soc."},{"issue":"21","key":"1843_CR7","first-page":"1","volume":"7","author":"D Tkach","year":"2010","unstructured":"Tkach, D., Huang, H., Kuiken, T.: Study of stability of time-domain features for electromyographic pattern recognition. J. Neuroeng. Rehabil. 7(21), 1\u201313 (2010)","journal-title":"J. Neuroeng. Rehabil."},{"issue":"2","key":"1843_CR8","doi-asserted-by":"publisher","first-page":"113","DOI":"10.1109\/7333.928571","volume":"9","author":"IP Pappas","year":"2001","unstructured":"Pappas, I.P., et al.: A reliable gait phase detection system. IEEE Trans. Neural. Syst. Rehabil. Eng. 9(2), 113\u2013125 (2001)","journal-title":"IEEE Trans. Neural. Syst. Rehabil. Eng."},{"issue":"3","key":"1843_CR9","doi-asserted-by":"publisher","first-page":"5470","DOI":"10.3390\/s140305470","volume":"14","author":"PC Formento","year":"2014","unstructured":"Formento, P.C., et al.: Gait event detection during stair walking using a rate gyroscope. Sensors 14(3), 5470\u20135485 (2014)","journal-title":"Sensors"},{"key":"1843_CR10","doi-asserted-by":"crossref","unstructured":"Zarika, M. et al.: Heuristic based gait event detection for human lower limb movement, in Proc. IEEE EMBS Int. Conf. Biomed. Health. Inform.\u00a0337\u2013 340 (2017)","DOI":"10.1109\/BHI.2017.7897274"},{"issue":"2","key":"1843_CR11","doi-asserted-by":"publisher","first-page":"2776","DOI":"10.3390\/s140202776","volume":"14","author":"M Gor\u0161i\u010d","year":"2014","unstructured":"Gor\u0161i\u010d, M., et al.: Online phase detection using wearable sensors for walking with a robotic prosthesis. Sensors 14(2), 2776\u20132794 (2014)","journal-title":"Sensors"},{"issue":"5","key":"1843_CR12","doi-asserted-by":"publisher","first-page":"946","DOI":"10.1109\/TNSRE.2013.2291907","volume":"22","author":"V Agostini","year":"2014","unstructured":"Agostini, V., Balestra, G., Knaflitz, M.: Segmentation and classification of gait cycles. IEEE Trans. Neural Syst. Rehabil. Eng. 22(5), 946\u2013952 (2014)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"1","key":"1843_CR13","doi-asserted-by":"publisher","first-page":"81","DOI":"10.1109\/TNSRE.2004.843176","volume":"13","author":"RW Selles","year":"2005","unstructured":"Selles, R.W., et al.: Automated estimation of initial and terminal contact timing using accelerometers; development and validation in transtibial amputees and controls. IEEE Trans. Neural Syst. Rehabil. Eng. 13(1), 81\u201388 (2005)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"issue":"4","key":"1843_CR14","doi-asserted-by":"publisher","first-page":"502","DOI":"10.1016\/j.medengphy.2013.10.004","volume":"36","author":"J Rueterbories","year":"2014","unstructured":"Rueterbories, J., Spaich, E.G., Andersen, O.K.: Gait event detection for use in FES rehabilitation by radial and tangential foot accelerations. Med. Eng. Phys. 36(4), 502\u2013508 (2014)","journal-title":"Med. Eng. Phys."},{"key":"1843_CR15","doi-asserted-by":"publisher","first-page":"33250","DOI":"10.1109\/ACCESS.2020.2971552","volume":"8","author":"J Figueiredo","year":"2020","unstructured":"Figueiredo, J., et al.: Daily locomotion recognition and prediction: a kinematic data-based machine learning approach. IEEE Access 8, 33250\u201333262 (2020)","journal-title":"IEEE Access"},{"key":"1843_CR16","doi-asserted-by":"crossref","unstructured":"Lu, H., Schomaker, L. R. B., Carloni, R.: IMU-based deep neural networks for locomotor intention prediction. Proc. IEEE\/RSJ Int. Conf. Intell. Robots Syst\u00a0(IROS). 4134\u20134139 (2020)","DOI":"10.1109\/IROS45743.2020.9341649"},{"key":"1843_CR17","doi-asserted-by":"crossref","unstructured":"Li, Y.D., Hsiao-Wecksler, E.T.: Gait mode recognition using an inertial measurement unit to control an ankle-foot orthosis during stair ascent and descent, in ASME\u00a02012 5th Annual Dynamic Systems and Control Conf. 743\u2013752 (2012)","DOI":"10.1115\/DSCC2012-MOVIC2012-8651"},{"issue":"2","key":"1843_CR18","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1109\/TNSRE.2015.2412461","volume":"24","author":"AJ Young","year":"2016","unstructured":"Young, A.J., Hargrove, L.J.: A classification method for user independent intent recognition for transfemoral amputees using powered lower limb prostheses. IEEE Trans. Neural Syst. Rehabil. Eng. 24(2), 217\u2013225 (2016)","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"1843_CR19","doi-asserted-by":"crossref","unstructured":"Jang, J. et al.: Preliminary study of online gait recognizer for lower limb exoskeletons, in Proc. IEEE\/RSJ Int. Conf. Intell. Robots Syst\u00a0(IROS). 5818\u20135824 (2017)","DOI":"10.1109\/IROS.2017.8206473"},{"key":"1843_CR20","doi-asserted-by":"crossref","unstructured":"Moon, D.-H., Kim, D.-H. Hong, Y.-D.: Development of a single leg knee exoskeleton and sensing knee center of rotation change for intention detection. Sensors. 19(18), 3960 (2019)","DOI":"10.3390\/s19183960"},{"issue":"1","key":"1843_CR21","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.humov.2007.08.003","volume":"27","author":"AL Hof","year":"2008","unstructured":"Hof, A.L.: The \u2018extrapolated center of mass\u2019 concept suggests a simple control of balance in walking. Human Movement Sci. 27(1), 112\u2013125 (2008)","journal-title":"Human Movement Sci."},{"issue":"2","key":"1843_CR22","doi-asserted-by":"publisher","first-page":"355","DOI":"10.1109\/TRO.2015.2405592","volume":"31","author":"J Englsberger","year":"2015","unstructured":"Englsberger, J., Ott, C., Albu-Schaffer, A.: Three-dimensional bipedal walking control based on divergent component of motion. IEEE Trans. Robot. 31(2), 355\u2013368 (2015)","journal-title":"IEEE Trans. Robot."}],"container-title":["Journal of Intelligent &amp; Robotic Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-023-01843-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10846-023-01843-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10846-023-01843-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,4]],"date-time":"2023-05-04T11:20:17Z","timestamp":1683199217000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10846-023-01843-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,28]]},"references-count":22,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,4]]}},"alternative-id":["1843"],"URL":"https:\/\/doi.org\/10.1007\/s10846-023-01843-0","relation":{},"ISSN":["0921-0296","1573-0409"],"issn-type":[{"value":"0921-0296","type":"print"},{"value":"1573-0409","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,3,28]]},"assertion":[{"value":"17 September 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 February 2023","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 March 2023","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics Approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to Participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for Publication"}},{"value":"The authors declare no conflict of interest.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflicts of Interest\/Competing Interests"}}],"article-number":"51"}}