{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:51:00Z","timestamp":1780635060207,"version":"3.54.1"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9746047","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T15:50:34Z","timestamp":1651074634000},"page":"3229-3233","source":"Crossref","is-referenced-by-count":21,"title":["TNTC: Two-Stream Network with Transformer-Based Complementarity for Gait-Based Emotion Recognition"],"prefix":"10.1109","author":[{"given":"Chuanfei","family":"Hu","sequence":"first","affiliation":[{"name":"Southeast University,Key Laboratory of Measurement and Control of CSE Ministry of Education, School of Automation,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weijie","family":"Sheng","sequence":"additional","affiliation":[{"name":"Southeast University,Key Laboratory of Measurement and Control of CSE Ministry of Education, School of Automation,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bo","family":"Dong","sequence":"additional","affiliation":[{"name":"Zhejiang University,College of Biomedical Engineering &#x0026; Instrument Science,Hangzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinde","family":"Li","sequence":"additional","affiliation":[{"name":"Southeast University,Key Laboratory of Measurement and Control of CSE Ministry of Education, School of Automation,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107868"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58607-2_9"},{"key":"ref12","article-title":"Identifying emotions from walking using affective and deep features","author":"randhavane","year":"2019"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i02.5490"},{"key":"ref14","first-page":"46","article-title":"G-gcsn: Global graph convolution shrinkage network for emotion per-ception from gait","author":"zhuang","year":"2020","journal-title":"ACCV"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/IROS45743.2020.9340710"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00958"},{"key":"ref17","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"dosovitskiy","year":"2020","journal-title":"ICLRE"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01474"},{"key":"ref19","article-title":"High-accuracy, di-rect aberration determination using self-attention-armed deep convolutional neural networks","volume":"n a","author":"wang","year":"2022","journal-title":"J Microsc"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00035"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2022.3144317"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.2981446"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/THMS.2020.3044975"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-9280.2008.02116.x"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/17470910701376894"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBCAS.2021.3060617"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2021.3073440"},{"key":"ref9","article-title":"Emotion recognition from gait analyses: Current research and future directions","author":"xu","year":"2020"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1364\/OE.440405"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2962437"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09746047.pdf?arnumber=9746047","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T16:09:40Z","timestamp":1660579780000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746047\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746047","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}