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Volumn , Issue , 2009, Pages 2357-2361

Classification of user states with physiological signals: On-line generic features vs. specialized feature sets

Author keywords

[No Author keywords available]

Indexed keywords

ANALYSIS WINDOWS; CLASSIFICATION TASKS; FEATURE SETS; FEATURE VECTORS; GENERIC FEATURES; LOW MEMORY; ON-LINE CLASSIFICATION; PHYSIOLOGICAL FEATURES; PHYSIOLOGICAL SIGNALS; PRE-PROCESSING STEP; REAL-TIME APPLICATION; STRESS LEVELS; TIME COMPLEXITY;

EID: 84863766371     PISSN: 22195491     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (22)

References (9)
  • 6
    • 77956425892 scopus 로고    scopus 로고
    • Real-time recognition of the affective user state with physiological signals
    • Doctoral Consortium
    • F. Hönig, A. Batliner, and E. Nöth. Real-time recognition of the affective user state with physiological signals. In Affective Computing and Intelligent Interaction, Doctoral Consortium, pages 1-8, 2007.
    • (2007) Affective Computing and Intelligent Interaction , pp. 1-8
    • Hönig, F.1    Batliner, A.2    Nöth, E.3
  • 9
    • 33749572603 scopus 로고    scopus 로고
    • From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification
    • J. Wagner, J. Kim, and E. André. From physiological signals to emotions: Implementing and comparing selected methods for feature extraction and classification. In IEEE Int. Conf. on Multimedia & Expo (ICME 2005), pages 940-943, 2005.
    • (2005) IEEE Int. Conf. on Multimedia & Expo (ICME 2005) , pp. 940-943
    • Wagner, J.1    Kim, J.2    André, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.