{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:12:28Z","timestamp":1750219948745,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"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\/3594806.3594812","type":"proceedings-article","created":{"date-parts":[[2023,8,10]],"date-time":"2023-08-10T17:38:12Z","timestamp":1691689092000},"page":"91-94","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["An LLVM-Inspired Framework for Unified Processing of Multimodal Time-Series Data"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7346-6344","authenticated-orcid":false,"given":"Lee B.","family":"Hinkle","sequence":"first","affiliation":[{"name":"Department of Computer Science, Texas State University, United States"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7371-8887","authenticated-orcid":false,"given":"Vangelis","family":"Metsis","sequence":"additional","affiliation":[{"name":"Department of Computer Science, Texas State University, United States"}]}],"member":"320","published-online":{"date-parts":[[2023,8,10]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 21th international European symposium on artificial neural networks, computational intelligence and machine learning. 437\u2013442","author":"Anguita Davide","year":"2013","unstructured":"Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra\u00a0Perez, and Jorge\u00a0Luis Reyes\u00a0Ortiz. 2013. A public domain dataset for human activity recognition using smartphones. In Proceedings of the 21th international European symposium on artificial neural networks, computational intelligence and machine learning. 437\u2013442."},{"key":"e_1_3_2_1_2_1","unstructured":"Hoang\u00a0Anh Dau Eamonn Keogh Kaveh Kamgar Chin-Chia\u00a0Michael Yeh Yan Zhu Shaghayegh Gharghabi Chotirat\u00a0Ann Ratanamahatana Yanping Bing Hu Nurjahan Begum Anthony Bagnall Abdullah Mueen Gustavo Batista and Hexagon-ML. 2018. The UCR Time Series Classification Archive. https:\/\/www.cs.ucr.edu\/\u00a0eamonn\/time_series_data_2018\/."},{"key":"e_1_3_2_1_3_1","unstructured":"Empatica. 2020. E4 Wristband User\u2019s Manual Rev. 2.0. https:\/\/empatica.app.box.com\/v\/E4-User-Manual. Accessed: 2022-06-09."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3131672.3136976"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","unstructured":"Lee\u00a0B. Hinkle Gentry Atkinson and Vangelis Metsis. 2022. TWristAR - wristband activity recognition. https:\/\/doi.org\/10.5281\/zenodo.5911808","DOI":"10.5281\/zenodo.5911808"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-77211-6_23"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41597-021-00977-w"},{"key":"e_1_3_2_1_8_1","unstructured":"Alex Krizhevsky Geoffrey Hinton 2009. Learning multiple layers of features from tiny images. (2009)."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/CGO.2004.1281665"},{"volume-title":"Daily Living Activity Recognition Using Wearable Devices: A Features-Rich Dataset and a Novel Approach","author":"Leotta Maurizio","key":"e_1_3_2_1_10_1","unstructured":"Maurizio Leotta, Andrea Fasciglione, and Alessandro Verri. 2021. Daily Living Activity Recognition Using Wearable Devices: A Features-Rich Dataset and a Novel Approach. In Pattern Recognition. ICPR International Workshops and Challenges, Alberto Del\u00a0Bimbo, Rita Cucchiara, Stan Sclaroff, Giovanni\u00a0Maria Farinella, Tao Mei, Marco Bertini, Hugo\u00a0Jair Escalante, and Roberto Vezzani (Eds.). Springer International Publishing, Cham, 171\u2013187."},{"key":"e_1_3_2_1_11_1","unstructured":"MathWorks. 2022. trainNetwork. https:\/\/www.mathworks.com\/help\/deeplearning\/ref\/trainnetwork.html. Accessed: 2022-06-02."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3390\/app7101101"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"The pandas\u00a0development team. 2020. pandas-dev\/pandas: Pandas. https:\/\/doi.org\/10.5281\/zenodo.3509134","DOI":"10.5281\/zenodo.3509134"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2078195"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.5220\/0005792401430151"}],"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\/3594806.3594812","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3594806.3594812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:01Z","timestamp":1750182541000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3594806.3594812"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,5]]},"references-count":15,"alternative-id":["10.1145\/3594806.3594812","10.1145\/3594806"],"URL":"https:\/\/doi.org\/10.1145\/3594806.3594812","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"}}]}}