PMID- 30279982 OWN - NLM STAT- PubMed-not-MEDLINE LR - 20220409 IS - 2047-2501 (Print) IS - 2047-2501 (Electronic) IS - 2047-2501 (Linking) VI - 6 IP - 1 DP - 2018 Dec TI - Emotion classification using flexible analytic wavelet transform for electroencephalogram signals. PG - 12 LID - 10.1007/s13755-018-0048-y [doi] LID - 12 AB - Emotion based brain computer system finds applications for impaired people to communicate with surroundings. In this paper, electroencephalogram (EEG) database of four emotions (happy, fear, sad, and relax) is recorded and flexible analytic wavelet transform (FAWT) is proposed for the emotion classification. FAWT analyzes the EEG signal into sub-bands and statistical measures are computed from the sub-bands for extraction of emotion specific information. The emotion classification performance of sub-band wise extracted features is examined over the variants of k-nearest-neighbor (KNN) classifier. The weighted-KNN provides the best emotion classification performance 86.1% as compared to other KNN variants. The proposed method shows better emotion classification performance as compared to other existing four emotions classification methods. FAU - Bajaj, Varun AU - Bajaj V AD - 1PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, Jabalpur, 452005 India. GRID: grid.444467.1 FAU - Taran, Sachin AU - Taran S AD - 1PDPM Indian Institute of Information Technology, Design and Manufacturing Jabalpur, Jabalpur, 452005 India. GRID: grid.444467.1 FAU - Sengur, Abdulkadir AU - Sengur A AD - 2Electrical and Electronics Engineering Department, Technology Faculty, Firat University, Elazig, Turkey. ISNI: 0000 0004 0574 1529. GRID: grid.411320.5 LA - eng PT - Journal Article DEP - 20180918 PL - England TA - Health Inf Sci Syst JT - Health information science and systems JID - 101638060 PMC - PMC6143498 OTO - NOTNLM OT - Electroencephalogram OT - Emotion classification OT - Flexible analytic wavelet transform OT - k-nearest-neighbor EDAT- 2018/10/04 06:00 MHDA- 2018/10/04 06:01 PMCR- 2019/12/01 CRDT- 2018/10/04 06:00 PHST- 2018/05/29 00:00 [received] PHST- 2018/08/07 00:00 [accepted] PHST- 2018/10/04 06:00 [entrez] PHST- 2018/10/04 06:00 [pubmed] PHST- 2018/10/04 06:01 [medline] PHST- 2019/12/01 00:00 [pmc-release] AID - 48 [pii] AID - 10.1007/s13755-018-0048-y [doi] PST - epublish SO - Health Inf Sci Syst. 2018 Sep 18;6(1):12. doi: 10.1007/s13755-018-0048-y. eCollection 2018 Dec.