{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,21]],"date-time":"2026-05-21T05:49:32Z","timestamp":1779342572038,"version":"3.51.4"},"reference-count":28,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:00:00Z","timestamp":1601424000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"crossref","award":["3102019AX10"],"award-info":[{"award-number":["3102019AX10"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61725205 and 617772428"],"award-info":[{"award-number":["61725205 and 617772428"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Innovative Talents Promotion Program of Shaanxi Province","award":["2018KJXX-011"],"award-info":[{"award-number":["2018KJXX-011"]}]},{"name":"National Key R8D Program of China","award":["2016YFB1001401"],"award-info":[{"award-number":["2016YFB1001401"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Comput. Healthcare"],"published-print":{"date-parts":[[2020,10,31]]},"abstract":"<jats:p>With the recent surge of smart wearable devices, it is possible to obtain the physiological and behavioral data of human beings in a more convenient and non-invasive manner. Based on such data, researchers have developed a variety of systems or applications to recognize and understand human behaviors, including both physical activities (e.g., gestures) and mental states (e.g., emotions). Specifically, it has been proved that different emotions can cause different changes in physiological parameters. However, other factors, such as activities, may also impact one\u2019s physiological parameters. To accurately recognize emotions, we need not only explore the physiological data but also the behavioral data. To this end, we propose an adaptive emotion recognition system by exploring a sensor-enriched wearable smart watch. First, an activity identification method is developed to distinguish different activity scenes (e.g., sitting, walking, and running) by using the accelerometer sensor. Based on the identified activity scenes, an adaptive emotion recognition method is proposed by leveraging multi-mode sensory data (including blood volume pulse, electrodermal activity, and skin temperature). Specifically, we extract fine-grained features to characterize different emotions. Finally, the adaptive user emotion recognition model is constructed and verified by experiments. An accuracy of 74.3% for 30 participants demonstrates that the proposed system can recognize human emotions effectively.<\/jats:p>","DOI":"10.1145\/3384394","type":"journal-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T12:32:12Z","timestamp":1594125132000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":26,"title":["EmotionSense"],"prefix":"10.1145","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2368-8947","authenticated-orcid":false,"given":"Zhu","family":"Wang","sequence":"first","affiliation":[{"name":"Northwestern Polytechncial University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiwen","family":"Yu","sequence":"additional","affiliation":[{"name":"Northwestern Polytechncial University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bobo","family":"Zhao","sequence":"additional","affiliation":[{"name":"Northwestern Polytechncial University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bin","family":"Guo","sequence":"additional","affiliation":[{"name":"Northwestern Polytechncial University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Chen","sequence":"additional","affiliation":[{"name":"Fuzhou University, Chongqing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyong","family":"Yu","sequence":"additional","affiliation":[{"name":"Fuzhou University, Fuzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,9,30]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2006.871888"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2509985"},{"key":"e_1_2_1_3_1","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.measurement.2017.06.006","article-title":"Wearable biosensor network enabled multimodal daily-life emotion recognition employing reputation-driven imbalanced fuzzy classification","volume":"109","author":"Dai Yixiang","year":"2017","journal-title":"Measurement"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1037\/1089-2680.4.4.378"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2781732"},{"key":"e_1_2_1_6_1","article-title":"Analysis of physiological signals for recognition of boredom, pain, and surprise emotions","volume":"34","author":"Jang Eun-Hye","year":"2015","journal-title":"Journal of Physiological Anthropology"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2008.26"},{"key":"e_1_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2012.16"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.15"},{"key":"e_1_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TRO.2007.904899"},{"key":"e_1_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1037\/a0030811"},{"key":"e_1_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2012.37"},{"key":"e_1_2_1_13_1","volume-title":"Unobtrusive mattress-based identification of hypertension by integrating classification and association rule mining. Sensors 19, 7","author":"Liu Fan","year":"2019"},{"key":"e_1_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1037\/1528-3542.5.2.175"},{"key":"e_1_2_1_15_1","volume-title":"A method for continuously assessing the autonomic response to music-induced emotions through HRV analysis. Medical 8 Biological Engineering 8 Computing 48, 5","author":"Orini Michele","year":"2010"},{"key":"e_1_2_1_16_1","volume-title":"When nonsense sounds happy or helpless: The implicit positive and negative affect test (IPANAT).Journal of Personality and Social Psychology 97, 3","author":"Quirin Markus","year":"2009"},{"key":"e_1_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijpsycho.2005.10.024"},{"key":"e_1_2_1_18_1","volume-title":"Proceedings of the International Conference on User Modeling. 314--318","author":"Rigas Georgios"},{"key":"e_1_2_1_19_1","first-page":"1552","article-title":"Facial expression recognition","volume":"2","author":"Sarode N.","year":"2010","journal-title":"International Journal on Computer Science and Engineering"},{"key":"e_1_2_1_20_1","volume-title":"Proceedings of the 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops. 1--6.","author":"Schaaff K."},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITB.2009.2036164"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2014.2332157"},{"key":"e_1_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1109\/MCOM.2018.1700644"},{"key":"e_1_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2019.1800030"},{"key":"e_1_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0189429"},{"key":"e_1_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2010.08.013"},{"key":"e_1_2_1_27_1","volume-title":"Proceedings of the 15th IEEE International Conference on Ubiquitous Intelligence and Computing. 346--355","author":"Zhao B."},{"key":"e_1_2_1_28_1","doi-asserted-by":"crossref","first-page":"57","DOI":"10.1109\/T-AFFC.2012.28","article-title":"Directing physiology and mood through music: Validation of an affective music player","volume":"4","author":"Zwaag M. D.","year":"2013","journal-title":"IEEE Transactions on Affective Computing"}],"container-title":["ACM Transactions on Computing for Healthcare"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384394","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3384394","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T22:03:24Z","timestamp":1750197804000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3384394"}},"subtitle":["An Adaptive Emotion Recognition System Based on Wearable Smart Devices"],"short-title":[],"issued":{"date-parts":[[2020,9,30]]},"references-count":28,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2020,10,31]]}},"alternative-id":["10.1145\/3384394"],"URL":"https:\/\/doi.org\/10.1145\/3384394","relation":{},"ISSN":["2691-1957","2637-8051"],"issn-type":[{"value":"2691-1957","type":"print"},{"value":"2637-8051","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,9,30]]},"assertion":[{"value":"2019-07-01","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-02-01","order":1,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2020-09-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}