Review of automated emotion-based quantification of facial expression in Parkinson’s patients

Author:

Sonawane Bhakti,Sharma Priyanka

Publisher

Springer Science and Business Media LLC

Subject

Computer Graphics and Computer-Aided Design,Computer Vision and Pattern Recognition,Software

Reference131 articles.

1. Shrivastava, P., Shukla, A., Vepakomma, P., Bhansali, N., Verma, K.: A survey of nature-inspired algorithms for feature selection to identify Parkinson’s disease. Comput. Methods Programs Biomed. 139, 171–179 (2017)

2. Friesen, E., Ekman, P.: Facial Action Coding System: A Technique for the Measurement of Facial Movement, vol. 3. Consulting Psychologists Press, Palo Alto (1978)

3. Izard, C.E., et al.: Maximally discriminative facial movement coding system. University of Delaware, Instructional Resources Center (1979)

4. Izard, C.E., Dougherty, L.M.: Two complementary systems for measuring facial expressions in infants and children. In: Measuring Emotions in Infants and Children, vol. 1, pp. 97–126 (1982)

5. Wolf, K.: Measuring facial expression of emotion. Dialog. Clin. Neurosci. 17(4), 457 (2015)

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