most citedIdentifying Emotions from Walking using Affective and Deep Features

49 citations · 81 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2019★ 11 cited

The Liar's Walk: Detecting Deception with Gait and Gesture

Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis +3

We present a data-driven deep neural algorithm for detecting deceptive walking behavior using nonverbal cues like gaits and gestures. We conducted an elaborate user study, where we…

cs.HC2019

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

Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis +3

We present a novel, real-time algorithm, EVA, for generating virtual agents with various perceived emotions. Our approach is based on using Expressive Features of gaze and gait to…

cs.HC2019★ 2 cited

FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics

Tanmay Randhavane, Aniket Bera, Kyra Kapsaskis +2

We present a new approach for improving the friendliness and warmth of a virtual agent in an AR environment by generating appropriate movement characteristics. Our algorithm is bas…

cs.CV2019★ 49 cited

Identifying Emotions from Walking using Affective and Deep Features

Tanmay Randhavane, Uttaran Bhattacharya, Kyra Kapsaskis +3

We present a new data-driven model and algorithm to identify the perceived emotions of individuals based on their walking styles. Given an RGB video of an individual walking, we ex…

cs.RO2019★ 17 cited

The Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments

Aniket Bera, Tanmay Randhavane, Rohan Prinja +4

We present a real-time algorithm for emotion-aware navigation of a robot among pedestrians. Our approach estimates time-varying emotional behaviors of pedestrians from their faces…

cs.GR2019★ 1 cited

Modeling Data-Driven Dominance Traits for Virtual Characters using Gait Analysis

Tanmay Randhavane, Aniket Bera, Emily Kubin +2

We present a data-driven algorithm for generating gaits of virtual characters with varying dominance traits. Our formulation utilizes a user study to establish a data-driven domina…