A comparison of PCA, KPCA and LDA for feature extraction to recognize affect in gait kinematics

Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009

Volumn , Issue , 2009, Pages

  Karg, Michelle ^a   Jenke, Robert ^a   Seiberl, Wolfgang ^a   Kühnlenz, Kolja ^a   Schwirtz, Ansgar ^a   Buss, Martin ^a  

^a TECHNICAL UNIVERSITY OF MUNICH   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AFFECT RECOGNITION; AFFECTIVE STATE; DATA BASE; GAIT KINEMATICS; GAIT PATTERN; HUMAN WALKING; KERNEL PCA; KINEMATIC PARAMETERS; LINEAR DISCRIMINANT ANALYSIS; MACHINE-LEARNING; NAIVE BAYES; OPTICAL MOTION TRACKING; PERSON-DEPENDENT; PRIMARY TASK;

DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; INTELLIGENT COMPUTING; KINEMATICS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77949436044     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACII.2009.5349438     Document Type: Conference Paper

References (21)

1. C. Bishop. Pattern Recognition and Machine Learning. Springer, 2006.
2. L. Cao, K. Chua, W. Chong, H. Lee, and Q. Gu. A comparison of PCA, KPCA and ICA for dimensionality reduction in support vector machine. Neurocomp., 55:321-336, 2003.
3. C.-C. Chang and C.-J. Lin. LIBSVM: A library for support vector machines. 2001. Software available at http://www.csie.ntu.edu.tw/ cjlin/libsvm.
4. T. Chau. A review of analytical techniques for gait data: Part 1 and 2. Gait and Posture, 13:49-66, 102:120, 2001.
5. E. Crane and M.Gross. Motion capture and emotion: Affect detection in whole body movement. In ACII, 2007.
6. J. Cutting and L. Kozlowski. Recognizing friends by their walk: Gait perception without familiarity cues. Bulletin of Psychonomic Society, 9:353-356, 1977.
7. R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. John Wiley & Sons, 2001.
8. P. Ekman and W. V. Friesen. A new pan-cultural facial expression of emotion. Motivation & Emo., 10:159-168, 1986.
9. D. Janssen,W. Schöllhorn, J. Lubienetzki, K. Fölling, H. Kokenge, and K. Davids. Recognition of emotions in gait patterns by means of artificial neural nets. Nonverbal Behaviour, 32:79-92, 2008.
10. M. Karg, R. Jenke, K. Kühnlenz, and M. Buss. A two-fold PCA-approach for inter-individual recognition of emotions in natural walking. In Int. Conf. on MLDM, 2009.
11. L. Kozlowski and J. Cutting. Recognizing the sex of a walker from a dynamic point-light display. Perception and Psychophysics, 21:575-580, 1977.
12. R. Lazarus. Emotion & Adaptation. Oxford Univ. Press, 1991.
13. A. Martinez and A. Kak. PCA versus LDA. IEEE Transactions on PA and MI, 23:228-233, 2001.
14. A. Mehrabian and J. Russel. Evidence for a three-factor theory of emotions. J. of Research in Personality, 11:273-94, 1977.
15. J. Montepare, S. Goldstein, and A. Clausen. The identification of emotions from gait information. Nonverbal Behavior, 11(1):33-42, 1987.
16. C. Peter and R. Beale. Affect and Emotion in Human-Computer Interaction. Springer, 2008.
17. R. Picard. Affective Computing. MIT Press, 2002.
18. F. Pollick, H. Paterson, A. Bruderin, and A. Sanford. Perceiving affect from arm movement. Cognition, 82:B51-B61, 2001.
19. B. Schölkopf, A. Smola, and K.-R. Müller. Kernel principal component analysis. ANN, 1327:583-588, 1997.
20. L. van der Maaten, E. Postma, and H. van den Herik. Dimensionality reduction: A comparative review. Submitted to Neurocognition, 2009.
21. J. Wu, J. Wang, and L.Liu. Feature extraction via KPCA for classification of gait patterns. Human Movement Science, 26:393-411, 2007.