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Volumn 1, Issue , 2014, Pages 460-464

User attention analysis for e-learning systems using gaze and speech information

Author keywords

attentiveness; e learning; Human computer interaction (HCI); pattern recognition; speech activity detection

Indexed keywords

E-LEARNING; HUMAN COMPUTER INTERACTION; INFORMATION USE; ONLINE SYSTEMS; PATTERN RECOGNITION; SPEECH RECOGNITION;

EID: 84913601673     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/InfoSEEE.2014.6948154     Document Type: Conference Paper
Times cited : (4)

References (8)
  • 4
    • 84913528371 scopus 로고    scopus 로고
    • Utilizing human-computer interaction data to extract user interests from web-based learning systems
    • Y. Ugurlu, Utilizing human-computer interaction data to extract user interests from web-based learning systems, International Journal of Networked and Distributed Computing, vol. 1, no. 4, pp. 187-195, 2013.
    • (2013) International Journal of Networked and Distributed Computing , vol.1 , Issue.4 , pp. 187-195
    • Ugurlu, Y.1
  • 6
    • 0031061865 scopus 로고    scopus 로고
    • Fast algorithm for point pattern matching: Invariant to translations, rotations and scale changes
    • S.H Chang, T.F.H Cheng, W.H. Hsu, and G.Z. Wu, Fast algorithm for point pattern matching: invariant to translations, rotations and scale changes, Pattern Recognition, vol. 30, no. 2, pp. 311-320, 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.2 , pp. 311-320
    • Chang, S.H.1    Cheng, T.F.H.2    Hsu, W.H.3    Wu, G.Z.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.