Learning Gait Emotions Using Affective and Deep Features

Author:

Randhavane Tanmay1,Bhattacharya Uttaran2,Kabra Pooja2,Kapsaskis Kyra1,Gray Kurt1,Manocha Dinesh2,Bera Aniket3

Affiliation:

1. University of North Carolina at Chapel Hill, USA

2. University of Maryland, USA

3. Purdue University, USA

Publisher

ACM

Reference68 articles.

1. 2018. CMU Graphics Lab Motion Capture Database. http://mocap.cs.cmu.edu/. 2018. CMU Graphics Lab Motion Capture Database. http://mocap.cs.cmu.edu/.

2. Danilo Avola , Marco Cascio , Luigi Cinque , Gian Luca Foresti , Cristiano Massaroni , and Emanuele Rodolà . 2019. 2d skeleton-based action recognition via two-branch stacked lstm-rnns . IEEE Transactions on Multimedia( 2019 ). Danilo Avola, Marco Cascio, Luigi Cinque, Gian Luca Foresti, Cristiano Massaroni, and Emanuele Rodolà. 2019. 2d skeleton-based action recognition via two-branch stacked lstm-rnns. IEEE Transactions on Multimedia(2019).

3. LF Barrett 2019. Emotional expressions reconsidered: challenges to inferring emotion from human facial movements. Psychological Science in the Public Interest ( 2019 ). LF Barrett 2019. Emotional expressions reconsidered: challenges to inferring emotion from human facial movements. Psychological Science in the Public Interest (2019).

4. F C Benitez-Quiroz , R Srinivasan , 2016 . Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild. In CVPR. F C Benitez-Quiroz, R Srinivasan, 2016. Emotionet: An accurate, real-time algorithm for the automatic annotation of a million facial expressions in the wild. In CVPR.

5. Detecting Affect from Non-stylised Body Motions

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