EVA: Generating Emotional Behavior of Virtual Agents using Expressive Features of Gait and Gaze-Reference-Cited by-同舟云学术

EVA: Generating Emotional Behavior of Virtual Agents using Expressive Features of Gait and Gaze

Published:2019-09-19 Issue: Volume: Page:
ISSN:
Container-title:ACM Symposium on Applied Perception 2019
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Author:

Randhavane Tanmay¹,Bera Aniket²,Kapsaskis Kyra¹,Sheth Rahul³,Gray Kurt⁴,Manocha Dinesh⁵

Affiliation:

1. University of North Carolina, Chapel Hill, USA

2. University of North Carolina, Chapel Hill

3. Snap Inc., Santa Monica, USA

4. University of North Carolina at Chapel Hill, USA

5. University of Maryland, College Park, USA

Funder

Intel Corporation

Alibaba Innovative Research (AIR)

Army Research Office

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3343036.3343129

Reference66 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. 2019. Retargeting of Humanoid animations. https://docs.unity3d.com/Manual/Retargeting. Accessed: 2019-06-30. 2019. Retargeting of Humanoid animations. https://docs.unity3d.com/Manual/Retargeting. Accessed: 2019-06-30.

3. Perceived Gaze Direction and the Processing of Facial Displays of Emotion

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