{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T21:11:04Z","timestamp":1772917864483,"version":"3.50.1"},"reference-count":32,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2021,11,24]],"date-time":"2021-11-24T00:00:00Z","timestamp":1637712000000},"content-version":"vor","delay-in-days":327,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100020487","name":"Nature","doi-asserted-by":"publisher","award":["61603003"],"award-info":[{"award-number":["61603003"]}],"id":[{"id":"10.13039\/501100020487","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100010814","name":"Anhui Provincial Department of Education","doi-asserted-by":"publisher","award":["gxbjZD26"],"award-info":[{"award-number":["gxbjZD26"]}],"id":[{"id":"10.13039\/501100010814","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Computational Intelligence and Neuroscience"],"published-print":{"date-parts":[[2021,1]]},"abstract":"<jats:p>The motion intent recognition via lower limb prosthesis can be regarded as a kind of short\u2010term action recognition, where the major issue is to explore the gait instantaneous conversion (known as transitional pattern) between each two adjacent different steady states of gait mode. Traditional intent recognition methods usually employ a set of statistical features to classify the transitional patterns. However, the statistical features of the short\u2010term signals via the instantaneous conversion are empirically unstable, which may degrade the classification accuracy. Bearing this in mind, we introduce the one\u2010dimensional dual\u2010tree complex wavelet transform (1D\u2010DTCWT) to address the motion intent recognition via lower limb prosthesis. On the one hand, the local analysis ability of the wavelet transform can amplify the instantaneous variation characteristics of gait information, making the extracted features of instantaneous pattern between two adjacent different steady states more stable. On the other hand, the translation invariance and direction selectivity of 1D\u2010DTCWT can help to explore the continuous features of patterns, which better reflects the inherent continuity of human lower limb movements. In the experiments, we have recruited ten able\u2010bodied subjects and one amputee subject and collected data by performing five steady states and eight transitional states. The experimental results show that the recognition accuracy of the able\u2010bodied subjects has reached 98.91%, 98.92%, and 97.27% for the steady states, transitional states, and total motion states, respectively. Furthermore, the accuracy of the amputee has reached 100%, 91.16%, and 90.27% for the steady states, transitional states, and total motion states, respectively. The above evidence finally indicates that the proposed method can better explore the gait instantaneous conversion (better expressed as motion intent) between each two adjacent different steady states compared with the state\u2010of\u2010the\u2010art.<\/jats:p>","DOI":"10.1155\/2021\/5631730","type":"journal-article","created":{"date-parts":[[2021,11,24]],"date-time":"2021-11-24T18:35:08Z","timestamp":1637778908000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Motion Intent Recognition in Intelligent Lower Limb Prosthesis Using One\u2010Dimensional Dual\u2010Tree Complex Wavelet Transforms"],"prefix":"10.1155","volume":"2021","author":[{"given":"Min","family":"Sheng","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wan-Jun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting-Ting","family":"Tong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yuan-Yuan","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7808-9920","authenticated-orcid":false,"given":"Hui-Lin","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1300-2083","authenticated-orcid":false,"given":"Ben-Yue","family":"Su","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2021,11,24]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1097\/00007611-200208000-00018"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1080\/09687599.2011.589198"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1080\/01691864.2017.1402704"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1080\/17483107.2016.1253117"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1080\/03093640802024955"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2018.2796070"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/jiot.2016.2628938"},{"key":"e_1_2_10_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2007.894829"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2008.2003293"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2016.2521160"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.yjmcc.2012.10.016"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1504\/ijsnet.2019.099230"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1109\/tmech.2017.2755048"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.1109\/jas.2017.7510619"},{"key":"e_1_2_10_15_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2019.2934525"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2015.2412461"},{"key":"e_1_2_10_17_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.medengphy.2019.06.013"},{"key":"e_1_2_10_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.measurement.2018.07.078"},{"key":"e_1_2_10_19_2","first-page":"1517","article-title":"An improved motion intent recognition method for intelligent lower limb prosthesis driven by inertial motion capture data","volume":"46","author":"Su B. Y.","year":"2020","journal-title":"Acta Automatica Sinica"},{"key":"e_1_2_10_20_2","first-page":"169","article-title":"Motion intent recognition of intelligent lower limb prosthesis based on GMM-HMM","volume":"40","author":"Sheng M.","year":"2019","journal-title":"Chinese Journal of Scientific Instrument"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2019.2909585"},{"key":"e_1_2_10_22_2","doi-asserted-by":"publisher","DOI":"10.1109\/jas.2017.7510817"},{"key":"e_1_2_10_23_2","first-page":"287","article-title":"Performance of random forest and SVM in face recognition","volume":"13","author":"Kremic E.","year":"2016","journal-title":"The International Arab Journal of Information Technology"},{"key":"e_1_2_10_24_2","doi-asserted-by":"crossref","unstructured":"SthapitP. GangH.-S. andPyunJ.-Y. Bluetooth based indoor positioning using machine learning algorithms Proceedings of the 2018 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) 2018 Jeju South Korea IEEE 206\u2013212 https:\/\/doi.org\/10.1109\/icce-asia.2018.8552138 2-s2.0-85060040784.","DOI":"10.1109\/ICCE-ASIA.2018.8552138"},{"key":"e_1_2_10_25_2","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/7696035"},{"key":"e_1_2_10_26_2","doi-asserted-by":"publisher","DOI":"10.1023\/a:1009715923555"},{"key":"e_1_2_10_27_2","doi-asserted-by":"publisher","DOI":"10.1109\/msp.2005.1550194"},{"key":"e_1_2_10_28_2","doi-asserted-by":"publisher","DOI":"10.1007\/s13202-016-0272-4"},{"key":"e_1_2_10_29_2","doi-asserted-by":"publisher","DOI":"10.1109\/access.2018.2797072"},{"key":"e_1_2_10_30_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2968855"},{"key":"e_1_2_10_31_2","doi-asserted-by":"publisher","DOI":"10.1088\/0253-6102\/70\/5\/633"},{"key":"e_1_2_10_32_2","doi-asserted-by":"publisher","DOI":"10.1109\/tnsre.2016.2529581"}],"container-title":["Computational Intelligence and Neuroscience"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/5631730.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/downloads.hindawi.com\/journals\/cin\/2021\/5631730.xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/pdf\/10.1155\/2021\/5631730","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,6]],"date-time":"2024-08-06T08:00:34Z","timestamp":1722931234000},"score":1,"resource":{"primary":{"URL":"https:\/\/onlinelibrary.wiley.com\/doi\/10.1155\/2021\/5631730"}},"subtitle":[],"editor":[{"given":"Silvia","family":"Conforto","sequence":"additional","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2021,1]]},"references-count":32,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,1]]}},"alternative-id":["10.1155\/2021\/5631730"],"URL":"https:\/\/doi.org\/10.1155\/2021\/5631730","archive":["Portico"],"relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-213182\/v1","asserted-by":"object"}]},"ISSN":["1687-5265","1687-5273"],"issn-type":[{"value":"1687-5265","type":"print"},{"value":"1687-5273","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1]]},"assertion":[{"value":"2021-04-16","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-10-28","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2021-11-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}],"article-number":"5631730"}}