{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,22]],"date-time":"2026-03-22T07:02:34Z","timestamp":1774162954022,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":10,"publisher":"Springer Singapore","isbn-type":[{"value":"9789811085291","type":"print"},{"value":"9789811085307","type":"electronic"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-981-10-8530-7_30","type":"book-chapter","created":{"date-parts":[[2018,2,28]],"date-time":"2018-02-28T15:04:19Z","timestamp":1519830259000},"page":"310-318","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":34,"title":["Emotion Recognition from EEG Using RASM and LSTM"],"prefix":"10.1007","author":[{"given":"Zhenqi","family":"Li","sequence":"first","affiliation":[]},{"given":"Xiang","family":"Tian","sequence":"additional","affiliation":[]},{"given":"Lin","family":"Shu","sequence":"additional","affiliation":[]},{"given":"Xiangmin","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Bin","family":"Hu","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,3,1]]},"reference":[{"issue":"2","key":"30_CR1","doi-asserted-by":"crossref","first-page":"157","DOI":"10.1109\/72.279181","volume":"5","author":"Y Bengio","year":"2002","unstructured":"Bengio, Y., Simard, P., Frasconi, P.: Learning long-term dependencies with gradient descent is difficult. IEEE Trans. Neural Netw. 5(2), 157\u2013166 (2002)","journal-title":"IEEE Trans. Neural Netw."},{"key":"30_CR2","doi-asserted-by":"crossref","unstructured":"Chen, J., Hu, B., Xu, L., Moore, P., Su, Y.: Feature-level fusion of multimodal physiological signals for emotion recognition. In: IEEE International Conference on Bioinformatics and Biomedicine, pp. 395\u2013399 (2015)","DOI":"10.1109\/BIBM.2015.7359713"},{"issue":"1","key":"30_CR3","doi-asserted-by":"crossref","first-page":"18","DOI":"10.1109\/T-AFFC.2011.15","volume":"3","author":"S Koelstra","year":"2012","unstructured":"Koelstra, S., Muhl, C., Soleymani, M., Lee, J.S., Yazdani, A., Ebrahimi, T., Pun, T., Nijholt, A., Patras, I.: Deap: a database for emotion analysis; using physiological signals. IEEE Trans. Affect. Comput. 3(1), 18\u201331 (2012)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"30_CR4","unstructured":"Kollia, V.: Personalization effect on emotion recognition from physiological data: an investigation of performance on different setups and classifiers (2016)"},{"issue":"5","key":"30_CR5","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1037\/0003-066X.50.5.372","volume":"50","author":"PJ Lang","year":"1995","unstructured":"Lang, P.J.: The emotion probe. Studies of motivation and attention. Am. Psychol. 50(5), 372 (1995)","journal-title":"Am. Psychol."},{"key":"30_CR6","doi-asserted-by":"crossref","unstructured":"Li, X., Song, D., Zhang, P., Yu, G., Hou, Y., Hu, B.: Emotion recognition from multi-channel EEG data through convolutional recurrent neural network. In: IEEE International Conference on Bioinformatics and Biomedicine, pp. 352\u2013359 (2017)","DOI":"10.1109\/BIBM.2016.7822545"},{"issue":"7","key":"30_CR7","doi-asserted-by":"crossref","first-page":"1798","DOI":"10.1109\/TBME.2010.2048568","volume":"57","author":"YP Lin","year":"2010","unstructured":"Lin, Y.P., Wang, C.H., Jung, T.P., Wu, T.L., Jeng, S.K., Duann, J.R., Chen, J.H.: EEG-based emotion recognition in music listening. IEEE Trans. Biomed. Eng. 57(7), 1798\u20131806 (2010)","journal-title":"IEEE Trans. Biomed. Eng."},{"issue":"1","key":"30_CR8","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1109\/TAFFC.2015.2436926","volume":"7","author":"M Soleymani","year":"2016","unstructured":"Soleymani, M., Asghari-Esfeden, S., Fu, Y., Pantic, M.: Analysis of EEG signals and facial expressions for continuous emotion detection. IEEE Trans. Affect. Comput. 7(1), 17\u201328 (2016)","journal-title":"IEEE Trans. Affect. Comput."},{"key":"30_CR9","doi-asserted-by":"crossref","unstructured":"Verma, G.K., Tiwary, U.S.: Affect representation and recognition in 3D continuous valence-arousal-dominance space. Multimedia Tools Appl. 1\u201325 (2016)","DOI":"10.1007\/s11042-015-3119-y"},{"key":"30_CR10","unstructured":"Zheng, W.L., Zhu, J.Y., Lu, B.L.: Identifying stable patterns over time for emotion recognition from EEG (2016)"}],"container-title":["Communications in Computer and Information Science","Internet Multimedia Computing and Service"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-8530-7_30","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,2]],"date-time":"2025-07-02T04:02:00Z","timestamp":1751428920000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-8530-7_30"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9789811085291","9789811085307"],"references-count":10,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-8530-7_30","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"value":"1865-0929","type":"print"},{"value":"1865-0937","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}