{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T03:35:03Z","timestamp":1752550503670,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,20]],"date-time":"2022-04-20T00:00:00Z","timestamp":1650412800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["No. 62172081"],"award-info":[{"award-number":["No. 62172081"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,4,20]]},"DOI":"10.1145\/3535694.3535707","type":"proceedings-article","created":{"date-parts":[[2022,7,11]],"date-time":"2022-07-11T16:52:58Z","timestamp":1657558378000},"page":"69-74","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Emotion Recognition Using the Fusion of Frontal 2-channel EEG Signals and Peripheral Physiological Signals"],"prefix":"10.1145","author":[{"given":"Chunting","family":"Wan","sequence":"first","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, China and School of Electronic Engineering and Automation, Guilin University of Electronic Science and Technology, China"}]},{"given":"Dongyi","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, China"}]},{"given":"Honghang","family":"Lv","sequence":"additional","affiliation":[{"name":"School of Automation Engineering, University of Electronic Science and Technology of China, China"}]}],"member":"320","published-online":{"date-parts":[[2022,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Schmidt L. A. & Trainor L. J. 2001. Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions.\u00a0Cognition & Emotion \u00a015(4) 487-500.  Schmidt L. A. & Trainor L. J. 2001. Frontal brain electrical activity (EEG) distinguishes valence and intensity of musical emotions.\u00a0Cognition & Emotion \u00a015(4) 487-500.","DOI":"10.1080\/02699930126048"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.15866\/irecos.v11i5.9334"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Hui T. K. & Sherratt R. S. 2018. Coverage of emotion recognition for common wearable biosensors.\u00a0Biosensors \u00a08(2) 30.  Hui T. K. & Sherratt R. S. 2018. Coverage of emotion recognition for common wearable biosensors.\u00a0Biosensors \u00a08(2) 30.","DOI":"10.3390\/bios8020030"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Greco A. Lanata A. Citi L. Vanello N. Valenza G. & Scilingo E. P. 2016. Skin admittance measurement for emotion recognition: A study over frequency sweep.\u00a0Electronics \u00a05(3) 46.  Greco A. Lanata A. Citi L. Vanello N. Valenza G. & Scilingo E. P. 2016. Skin admittance measurement for emotion recognition: A study over frequency sweep.\u00a0Electronics \u00a05(3) 46.","DOI":"10.3390\/electronics5030046"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Bruno P. Melnyk V. & V\u00f6lckner F. 2017. Temperature and emotions: Effects of physical temperature on responses to emotional advertising.\u00a0International Journal of Research in Marketing \u00a034(1) 302-320.  Bruno P. Melnyk V. & V\u00f6lckner F. 2017. Temperature and emotions: Effects of physical temperature on responses to emotional advertising.\u00a0International Journal of Research in Marketing \u00a034(1) 302-320.","DOI":"10.1016\/j.ijresmar.2016.08.005"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Kistler A. Mariauzouls C. & von Berlepsch K. 1998. Fingertip temperature as an indicator for sympathetic responses.\u00a0International journal of psychophysiology \u00a029(1) 35-41.  Kistler A. Mariauzouls C. & von Berlepsch K. 1998. Fingertip temperature as an indicator for sympathetic responses.\u00a0International journal of psychophysiology \u00a029(1) 35-41.","DOI":"10.1016\/S0167-8760(97)00087-1"},{"key":"e_1_3_2_1_7_1","unstructured":"Ayata D. Yaslan Y. & Kama\u015fak M. 2017. Emotion recognition via galvanic skin response: Comparison of machine learning algorithms and feature extraction methods.\u00a0IU-Journal of Electrical & Electronics Engineering \u00a017(1) 3147-3156.  Ayata D. Yaslan Y. & Kama\u015fak M. 2017. Emotion recognition via galvanic skin response: Comparison of machine learning algorithms and feature extraction methods.\u00a0IU-Journal of Electrical & Electronics Engineering \u00a017(1) 3147-3156."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Lee M. S. Lee Y. K. Pae D. S. Lim M. T. Kim D. W. & Kang T. K. 2019. Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network.\u00a0Applied Sciences \u00a09(16) 3355.  Lee M. S. Lee Y. K. Pae D. S. Lim M. T. Kim D. W. & Kang T. K. 2019. Fast Emotion Recognition Based on Single Pulse PPG Signal with Convolutional Neural Network.\u00a0Applied Sciences \u00a09(16) 3355.","DOI":"10.3390\/app9163355"},{"volume-title":"Brain-ee: Brain enjoyment evaluation using commercial eeg headband. In\u00a0Proceedings of the 9th acm international conference on pervasive technologies related to assistive environments\u00a0(pp. 1-5)","author":"Abujelala M.","key":"e_1_3_2_1_9_1","unstructured":"Abujelala , M. , Abellanoza , C. , Sharma , A. , & Makedon , F. 2016, June . Brain-ee: Brain enjoyment evaluation using commercial eeg headband. In\u00a0Proceedings of the 9th acm international conference on pervasive technologies related to assistive environments\u00a0(pp. 1-5) . Abujelala, M., Abellanoza, C., Sharma, A., & Makedon, F. 2016, June. Brain-ee: Brain enjoyment evaluation using commercial eeg headband. In\u00a0Proceedings of the 9th acm international conference on pervasive technologies related to assistive environments\u00a0(pp. 1-5)."},{"key":"e_1_3_2_1_10_1","first-page":"147","volume-title":"ASCERTAIN: Emotion and personality recognition using commercial sensors.\u00a0IEEE Transactions on Affective Computing,\u00a09(2)","author":"Subramanian R.","year":"2016","unstructured":"Subramanian , R. , Wache , J. , Abadi , M. K. , Vieriu , R. L. , Winkler , S. , & Sebe , N. 2016 . ASCERTAIN: Emotion and personality recognition using commercial sensors.\u00a0IEEE Transactions on Affective Computing,\u00a09(2) , 147 - 160 . Subramanian, R., Wache, J., Abadi, M. K., Vieriu, R. L., Winkler, S., & Sebe, N. 2016. ASCERTAIN: Emotion and personality recognition using commercial sensors.\u00a0IEEE Transactions on Affective Computing,\u00a09(2), 147-160."},{"key":"e_1_3_2_1_11_1","volume-title":"In\u00a02018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)\u00a0(pp. 1006-1010)","author":"Horvat M.","year":"2018","unstructured":"Horvat , M. , Dobrini\u0107 , M. , Novosel , M. , & Jer\u010di\u0107 , P. 2018 , May. Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report . In\u00a02018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)\u00a0(pp. 1006-1010) . IEEE. Horvat, M., Dobrini\u0107, M., Novosel, M., & Jer\u010di\u0107, P. 2018, May. Assessing emotional responses induced in virtual reality using a consumer EEG headset: A preliminary report. In\u00a02018 41st International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO)\u00a0(pp. 1006-1010). IEEE."},{"key":"e_1_3_2_1_12_1","volume-title":"Deap: A database for emotion analysis","author":"Koelstra S.","year":"2011","unstructured":"Koelstra , S. , Muhl , C. , Soleymani , M. , Lee , J. S. , Yazdani , A. , Ebrahimi , T. , ... & Patras , I. 2011 . Deap: A database for emotion analysis ; using physiological signals.\u00a0IEEE transactions on affective computing,\u00a03(1), 18-31. Koelstra, S., Muhl, C., Soleymani, M., Lee, J. S., Yazdani, A., Ebrahimi, T., ... & Patras, I. 2011. Deap: A database for emotion analysis; using physiological signals.\u00a0IEEE transactions on affective computing,\u00a03(1), 18-31."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Li M. Xu H. Liu X. & Lu S. 2018. Emotion recognition from multichannel EEG signals using K-nearest neighbor classification.\u00a0Technology and health care \u00a026(S1) 509-519.  Li M. Xu H. Liu X. & Lu S. 2018. Emotion recognition from multichannel EEG signals using K-nearest neighbor classification.\u00a0Technology and health care \u00a026(S1) 509-519.","DOI":"10.3233\/THC-174836"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Suhaimi N. S. Mountstephens J. & Teo J. 2020. EEG-based emotion recognition: A state-of-the-art review of current trends and opportunities.\u00a0Computational intelligence and neuroscience \u00a02020.  Suhaimi N. S. Mountstephens J. & Teo J. 2020. EEG-based emotion recognition: A state-of-the-art review of current trends and opportunities.\u00a0Computational intelligence and neuroscience \u00a02020.","DOI":"10.1155\/2020\/8875426"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Zhang J. Yin Z. Chen P. & Nichele S. 2020. Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review.\u00a0Information Fusion \u00a059 103-126.  Zhang J. Yin Z. Chen P. & Nichele S. 2020. Emotion recognition using multi-modal data and machine learning techniques: A tutorial and review.\u00a0Information Fusion \u00a059 103-126.","DOI":"10.1016\/j.inffus.2020.01.011"}],"event":{"name":"ICBET 2022: 2022 12th International Conference on Biomedical Engineering and Technology","acronym":"ICBET 2022","location":"Tokyo Japan"},"container-title":["Proceedings of the 12th International Conference on Biomedical Engineering and Technology"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3535694.3535707","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3535694.3535707","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:53Z","timestamp":1750188653000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3535694.3535707"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,20]]},"references-count":15,"alternative-id":["10.1145\/3535694.3535707","10.1145\/3535694"],"URL":"https:\/\/doi.org\/10.1145\/3535694.3535707","relation":{},"subject":[],"published":{"date-parts":[[2022,4,20]]},"assertion":[{"value":"2022-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}