{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,20]],"date-time":"2025-09-20T20:25:00Z","timestamp":1758399900674,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,5]],"date-time":"2023-07-05T00:00:00Z","timestamp":1688515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,5]]},"DOI":"10.1145\/3594806.3596582","type":"proceedings-article","created":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T17:38:12Z","timestamp":1691689092000},"page":"739-745","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Attention based 1D-CNN for Mental Workload Classification using EEG"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0003-2672-4656","authenticated-orcid":false,"given":"Fiza","family":"Parveen","sequence":"first","affiliation":[{"name":"School of Computing and Electrical Engineering, Indian Institute of Technology Mandi (IIT Mandi), India"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2849-4375","authenticated-orcid":false,"given":"Arnav","family":"Bhavsar","sequence":"additional","affiliation":[{"name":"School of Computing and Electrical Engineering, Indian Institute of Technology Mandi (IIT Mandi), India"}]}],"member":"320","published-online":{"date-parts":[[2023,8,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1736359"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.56038\/ejrnd.v2i4.193"},{"key":"e_1_3_2_1_3_1","volume-title":"M\u00f6dling: Schuhfried GmbH","author":"Bratfisch O","year":"2008","unstructured":"O Bratfisch and E Hagman. 2008. Simkap\u2013simultankapazit\u00e4t\/multi-tasking. M\u00f6dling: Schuhfried GmbH (2008)."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0146610"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compeleceng.2013.11.024"},{"key":"e_1_3_2_1_6_1","volume-title":"Working memory span tasks: A methodological review and user\u2019s guide. Psychonomic bulletin & review 12","author":"Conway RA","year":"2005","unstructured":"Andrew\u00a0RA Conway, Michael\u00a0J Kane, Michael\u00a0F Bunting, D\u00a0Zach Hambrick, Oliver Wilhelm, and Randall\u00a0W Engle. 2005. Working memory span tasks: A methodological review and user\u2019s guide. Psychonomic bulletin & review 12 (2005), 769\u2013786."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab0ab5"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1097\/00004691-200307000-00004"},{"key":"e_1_3_2_1_9_1","volume-title":"LOD 2022","author":"Kingphai Kunjira","year":"2023","unstructured":"Kunjira Kingphai and Yashar Moshfeghi. 2023. On time series cross-validation for deep learning classification model of mental workload levels based on EEG signals. In Machine Learning, Optimization, and Data Science: 8th International Workshop, LOD 2022, Certosa di Pontignano, Italy, September 19\u201322, 2022, Revised Selected Papers, Part II. Springer, 402\u2013416."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAIE.2018.8405493"},{"key":"e_1_3_2_1_11_1","volume-title":"Executive n-back tasks for the neuropsychological assessment of working memory. Behavioural brain research 292","author":"Leon-Dominguez Umberto","year":"2015","unstructured":"Umberto Leon-Dominguez, Juan\u00a0Francisco Mart\u00edn-Rodr\u00edguez, and Jos\u00e9 Le\u00f3n-Carri\u00f3n. 2015. Executive n-back tasks for the neuropsychological assessment of working memory. Behavioural brain research 292 (2015), 167\u2013173."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSRE.2018.2872924"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICICS.2015.7459834"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1111\/j.1469-8986.2010.01061.x"},{"volume-title":"Electroencephalography: basic principles, clinical applications, and related fields","author":"Niedermeyer Ernst","key":"e_1_3_2_1_15_1","unstructured":"Ernst Niedermeyer and FH\u00a0Lopes da Silva. 2005. Electroencephalography: basic principles, clinical applications, and related fields. Lippincott Williams & Wilkins."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.3758\/BF03209416"},{"key":"e_1_3_2_1_17_1","volume-title":"Bullmore","author":"Owen M","year":"2005","unstructured":"Adrian\u00a0M Owen, Kathryn\u00a0M McMillan, Angela\u00a0R Laird, and Ed Bullmore. 2005. N-back working memory paradigm: A meta-analysis of normative functional neuroimaging studies. Human brain mapping 25, 1 (2005), 46\u201359."},{"volume-title":"BioMedical Engineering and Informatics (CISP-BMEI)","author":"Pang Liping","key":"e_1_3_2_1_18_1","unstructured":"Liping Pang, Yurong Fan, Ye Deng, Xin Wang, and Tianbo Wang. 2020. Mental Workload Classification By Eye Movements In Visual Search Tasks. In 2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 29\u201333."},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCICC53683.2021.9811325"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1088\/1741-2552\/ab260c"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"Vipul Sharma and Mitul\u00a0Kumar Ahirwal. 2021. Quantification of Mental Workload Using a Cascaded Deep One-dimensional Convolution Neural Network and Bi-directional Long Short-Term Memory Model. (2021).","DOI":"10.36227\/techrxiv.15066642.v1"},{"key":"e_1_3_2_1_22_1","volume-title":"Fundamentals of EEG measurement. Measurement science review 2, 2","author":"Michal Teplan","year":"2002","unstructured":"Michal Teplan 2002. Fundamentals of EEG measurement. Measurement science review 2, 2 (2002), 1\u201311."},{"key":"e_1_3_2_1_23_1","volume-title":"Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval. Cognitive psychology 71","author":"Unsworth Nash","year":"2014","unstructured":"Nash Unsworth, Keisuke Fukuda, Edward Awh, and Edward\u00a0K Vogel. 2014. Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval. Cognitive psychology 71 (2014), 1\u201326."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI51031.2022.10022261"}],"event":{"name":"PETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments","acronym":"PETRA '23","location":"Corfu Greece"},"container-title":["Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594806.3596582","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3594806.3596582","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:07Z","timestamp":1750182547000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594806.3596582"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,5]]},"references-count":24,"alternative-id":["10.1145\/3594806.3596582","10.1145\/3594806"],"URL":"https:\/\/doi.org\/10.1145\/3594806.3596582","relation":{},"subject":[],"published":{"date-parts":[[2023,7,5]]},"assertion":[{"value":"2023-08-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}