{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T17:55:49Z","timestamp":1761587749530,"version":"build-2065373602"},"reference-count":18,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"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":[[2023,10,29]]},"DOI":"10.1109\/sensors56945.2023.10324874","type":"proceedings-article","created":{"date-parts":[[2023,11,28]],"date-time":"2023-11-28T14:02:53Z","timestamp":1701180173000},"page":"1-4","source":"Crossref","is-referenced-by-count":3,"title":["An Efficient Deep-Learning-Based Solution for the Recognition of Relative Changes in Mental Workload Using Wearable Sensors"],"prefix":"10.1109","author":[{"given":"Majd","family":"Saleh","sequence":"first","affiliation":[{"name":"Institute of Research and Technology b&#x003C;&#x003E;com,Artificial Intelligence Lab,Rennes,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephane","family":"Paquelet","sequence":"additional","affiliation":[{"name":"b&#x003C;&#x003E;com,Artificial Intelligence Lab,Rennes,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pierre","family":"Castel","sequence":"additional","affiliation":[{"name":"b&#x003C;&#x003E;com,Artificial Intelligence Lab,Rennes,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marc","family":"Hoarau","sequence":"additional","affiliation":[{"name":"b&#x003C;&#x003E;com,Human Factors Technologies Lab,Brest,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nico","family":"Pallamin","sequence":"additional","affiliation":[{"name":"b&#x003C;&#x003E;com,Human Factors Technologies Lab,Brest,France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniel","family":"Lewkowicz","sequence":"additional","affiliation":[{"name":"Human Design Group,Human Monitoring &#x0026; Data Science Department,Toulouse,France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1080\/14639220210123806"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/tcds.2021.3090217"},{"key":"ref3","article-title":"MAUS: A Dataset for Mental Workload Assessmenton N-back Task Using Wearable Sensor","author":"Beh","year":"2021","journal-title":"arXiv"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3389\/fpsyg.2014.01475"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2016.90"},{"key":"ref8","article-title":"Bidirectional LSTM Networks for Improved Phoneme Classification and Recognition","volume-title":"Berlin, Heidelberg","volume":"3697","author":"Graves","year":"2005"},{"key":"ref9","article-title":"Gated Transformer Networks for Mul-tivariate Time Series Classification","author":"Liu","year":"2021","journal-title":"arXiv"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/cvpr.2015.7298594"},{"first-page":"2114","volume-title":"A Transformer-Based Framework for Multivari-ate Time Series Representation Learning\u201d, \u201cAssociation for Computing Machinery, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining","author":"George","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/tbme.2014.2359372"},{"key":"ref14","article-title":"CHAPTER 6 \u201cDeep learning for text and sequences","volume-title":"Deep Learning with Python","author":"Francois","year":"2017"},{"key":"ref15","article-title":"On the Variance of the Adaptive Learning Rate and Beyond","volume-title":"the Eighth International Conference on Learning Representations","author":"Liu","year":"2020"},{"key":"ref16","first-page":"4650","article-title":"Un-supervised Scalable Representation Learning for Multivariate Time Series.\u201d, \u201cAdvances in Neural Information Processing Systems 32","volume-title":"Curran Associates","author":"Franceschi","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"volume-title":"Timeseries classification with a Transformer model","year":"2021","author":"Theodoros","key":"ref18"}],"event":{"name":"2023 IEEE SENSORS","start":{"date-parts":[[2023,10,29]]},"location":"Vienna, Austria","end":{"date-parts":[[2023,11,1]]}},"container-title":["2023 IEEE SENSORS"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10324456\/10324848\/10324874.pdf?arnumber=10324874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T17:50:48Z","timestamp":1761587448000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10324874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,29]]},"references-count":18,"URL":"https:\/\/doi.org\/10.1109\/sensors56945.2023.10324874","relation":{},"subject":[],"published":{"date-parts":[[2023,10,29]]}}}