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

, , , , , and . SAP, page 6:1-6:10. ACM, (2019)

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The Socially Invisible Robot Navigation in the Social World Using Robot Entitativity., , , , , and . IROS, page 4468-4475. IEEE, (2018)How are you feeling? Multimodal Emotion Learning for Socially-Assistive Robot Navigation., , , , , , and . FG, page 644-651. IEEE, (2020)Improving Socially-aware Multi-channel Human Emotion Prediction for Robot Navigation., , and . CVPR Workshops, page 21-27. Computer Vision Foundation / IEEE, (2019)PedVR: simulating gaze-based interactions between a real user and virtual crowds., , , , and . VRST, page 91-100. ACM, (2016)Learning Gait Emotions Using Affective and Deep Features., , , , , , and . MIG, page 5:1-5:10. ACM, (2022)EVA: Generating Emotional Behavior of Virtual Agents using Expressive Features of Gait and Gaze., , , , , and . SAP, page 6:1-6:10. ACM, (2019)F2FCrowds: Planning Agent Movements to Enable Face-to-Face Interactions., , and . Presence Teleoperators Virtual Environ., (2017)Pedestrian Dominance Modeling for Socially-Aware Robot Navigation., , , , , and . CoRR, (2018)Predicting power needs in smart grids., , , and . DEBS, page 298-301. ACM, (2014)GLMP- realtime pedestrian path prediction using global and local movement patterns., , , , and . ICRA, page 5528-5535. IEEE, (2016)