{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:07:46Z","timestamp":1755907666614,"version":"3.44.0"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T00:00:00Z","timestamp":1719360000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100006374","name":"Invest Northern Ireland","doi-asserted-by":"publisher","award":["RD051385"],"award-info":[{"award-number":["RD051385"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100006374","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EPT\/026995"],"award-info":[{"award-number":["EPT\/026995"]}],"id":[{"id":"10.13039\/501100006374","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,6,26]]},"DOI":"10.1145\/3652037.3663914","type":"proceedings-article","created":{"date-parts":[[2024,6,26]],"date-time":"2024-06-26T12:30:38Z","timestamp":1719405038000},"page":"351-358","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Using Thermal and Contact Sensors for Mood Detection in Smart Living Environments"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3420-0532","authenticated-orcid":false,"given":"Matias","family":"Garcia-Constantino","sequence":"first","affiliation":[{"name":"Ulster University, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5281-1911","authenticated-orcid":false,"given":"Alexandros","family":"Konios","sequence":"additional","affiliation":[{"name":"Nottingham Trent University, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4072-7178","authenticated-orcid":false,"given":"Idongesit","family":"Ekerete","sequence":"additional","affiliation":[{"name":"Ulster University, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8772-8023","authenticated-orcid":false,"given":"Mustafa A.","family":"Mustafa","sequence":"additional","affiliation":[{"name":"The University of Manchester, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3979-9465","authenticated-orcid":false,"given":"Irvin","family":"Hussein Lopez-Nava","sequence":"additional","affiliation":[{"name":"CICESE, Mexico"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6350-1780","authenticated-orcid":false,"given":"Yulith","family":"V. Altamirano-Flores","sequence":"additional","affiliation":[{"name":"Universidad de Castilla-La Mancha, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,6,26]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.07.047"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","unstructured":"Yulith\u00a0V. Altamirano-Flores Alexandros Konios Irvin\u00a0Hussein Lopez-Nava Matias Garcia-Constantino Idongesit Ekerete and Mustafa\u00a0A. Mustafa. 2023. Analysis of Accelerometer Data for Personalised Mood Detection in Activities of Daily Living. In 2023 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). 200\u2013205. https:\/\/doi.org\/10.1109\/PerComWorkshops56833.2023.10150223","DOI":"10.1109\/PerComWorkshops56833.2023.10150223"},{"volume-title":"4th European Conference of the International Federation for Medical and Biological Engineering, Jos Vander\u00a0Sloten","author":"Amor D.","key":"e_1_3_2_1_3_1","unstructured":"J.\u00a0D. Amor and C.\u00a0J. James. 2009. Personalized Ambient Monitoring: Accelerometry for Activity Level Classification. In 4th European Conference of the International Federation for Medical and Biological Engineering, Jos Vander\u00a0Sloten, Pascal Verdonck, Marc Nyssen, and Jens Haueisen (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 866\u2013870."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2011.51"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1080\/02699930541000057"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/2968219.2968302"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","unstructured":"M. Garcia-Constantino A. Konios I. Ekerete S.-R.\u00a0G. Christopoulos C. Shewell C. Nugent and G. Morrison. 2019. Probabilistic Analysis of Abnormal Behaviour Detection in Activities of Daily Living. In 2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). 461\u2013466. https:\/\/doi.org\/10.1109\/PERCOMW.2019.8730682","DOI":"10.1109\/PERCOMW.2019.8730682"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-21333-5_30"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOMW.2018.8480225"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1002\/jnr.23830"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICCITechn.2014.7073097"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3109761.3109769"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/3422819"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","unstructured":"Alexandros Konios Matias Garcia-Constantino Stavros-Richard Christopoulos Mustafa\u00a0Asan Mustafa Idongesit Ekerete Colin Shewell Chris Nugent and Gareth Morrison. 2019. Probabilistic Analysis of Temporal and Sequential Aspects of Activities of Daily Living for Abnormal Behaviour Detection. In 2019 IEEE SmartWorld Ubiquitous Intelligence & Computing Advanced & Trusted Computing Scalable Computing & Communications Cloud & Big Data Computing Internet of People and Smart City Innovation (SmartWorld\/SCALCOM\/UIC\/ATC\/CBDCom\/IOP\/SCI). 723\u2013730. https:\/\/doi.org\/10.1109\/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00158","DOI":"10.1109\/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00158"},{"volume-title":"Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, Vincent\u00a0G","author":"Konios Alexandros","key":"e_1_3_2_1_15_1","unstructured":"Alexandros Konios, Yasir\u00a0Imtiaz Khan, Matias Garcia-Constantino, and Irvin\u00a0Hussein Lopez-Nava. 2023. A Modular Framework for Modelling and Verification of Activities in Ambient Intelligent Systems. In Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management, Vincent\u00a0G. Duffy (Ed.). Springer Nature Switzerland, Cham, 503\u2013530."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","unstructured":"Worawat Lawanot Masahiro Inoue Taketoshi Yokemura Pornchai Mongkolnam and Chakarida Nukoolkit. 2019. Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being. In 2019 IEEE International Conference on Consumer Electronics (ICCE). 1\u20136. https:\/\/doi.org\/10.1109\/ICCE.2019.8661932","DOI":"10.1109\/ICCE.2019.8661932"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-019-09724-5"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2018.2834317"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/BSN.2012.3"},{"volume-title":"Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes","author":"Matic Aleksandar","key":"e_1_3_2_1_20_1","unstructured":"Aleksandar Matic, Venet Osmani, Andrei Popleteev, and Oscar Mayora-Ibarra. 2011. Smart Phone Sensing to Examine Effects of Social Interactions and Non-sedentary Work Time on Mood Changes. In Modeling and Using Context, Michael Beigl, Henning Christiansen, Thomas\u00a0R. Roth-Berghofer, Anders Kofod-Petersen, Kenny\u00a0R. Coventry, and Hedda\u00a0R. Schmidtke (Eds.). Springer Berlin Heidelberg, Berlin, Heidelberg, 200\u2013213."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.0001.2000169"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.sna.2020.112105"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1249\/01.mss.0000174907.27818.ff"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1093\/geront\/gnx103"},{"volume-title":"Device Agnostic, Sensor Data Platform","author":"Rafferty Joseph","key":"e_1_3_2_1_25_1","unstructured":"Joseph Rafferty, Jonathan Synnott, Andrew Ennis, Chris Nugent, Ian McChesney, and Ian Cleland. 2017. SensorCentral: A Research Oriented, Device Agnostic, Sensor Data Platform. In Ubiquitous Computing and Ambient Intelligence, Sergio\u00a0F. Ochoa, Pritpal Singh, and Jos\u00e9 Bravo (Eds.). Springer International Publishing, Cham, 97\u2013108."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.3390\/s19194079"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1093\/geront\/39.3.271"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2017.05.378"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20102826"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2019.04.057"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOMW.2016.7457166"}],"event":{"name":"PETRA '24: The PErvasive Technologies Related to Assistive Environments Conference","acronym":"PETRA '24","location":"Crete Greece"},"container-title":["Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652037.3663914","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3652037.3663914","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,22]],"date-time":"2025-08-22T15:42:26Z","timestamp":1755877346000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3652037.3663914"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,6,26]]},"references-count":31,"alternative-id":["10.1145\/3652037.3663914","10.1145\/3652037"],"URL":"https:\/\/doi.org\/10.1145\/3652037.3663914","relation":{},"subject":[],"published":{"date-parts":[[2024,6,26]]},"assertion":[{"value":"2024-06-26","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}