102 citations · 183 across the 11 of their papers we have counts for
12 papers
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…
STEP: Spatial Temporal Graph Convolutional Networks for Emotion Perception from Gaits
Uttaran Bhattacharya, Trisha Mittal, Rohan Chandra +3
We present a novel classifier network called STEP, to classify perceived human emotion from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) architecture. Gi…
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…
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…
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…
RoadTrack: Realtime Tracking of Road Agents in Dense and Heterogeneous Environments
Rohan Chandra, Uttaran Bhattacharya, Tanmay Randhavane +2
We present a realtime tracking algorithm, RoadTrack, to track heterogeneous road-agents in dense traffic videos. Our approach is designed for traffic scenarios that consist of diff…
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…
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…
Pedestrian Dominance Modeling for Socially-Aware Robot Navigation
Tanmay Randhavane, Aniket Bera, Emily Kubin +3
We present a Pedestrian Dominance Model (PDM) to identify the dominance characteristics of pedestrians for robot navigation. Through a perception study on a simulated dataset of pe…
Data-Driven Modeling of Group Entitativity in Virtual Environments
Aniket Bera, Tanmay Randhavane, Emily Kubin +3
We present a data-driven algorithm to model and predict the socio-emotional impact of groups on observers. Psychological research finds that highly entitative i.e. cohesive and uni…
The Socially Invisible Robot: Navigation in the Social World using Robot Entitativity
Aniket Bera, Tanmay Randhavane, Emily Kubin +3
We present a real-time, data-driven algorithm to enhance the social-invisibility of robots within crowds. Our approach is based on prior psychological research, which reveals that…
SocioSense: Robot Navigation Amongst Pedestrians with Social and Psychological Constraints
Aniket Bera, Tanmay Randhavane, Rohan Prinja +1
We present a real-time algorithm, SocioSense, for socially-aware navigation of a robot amongst pedestrians. Our approach computes time-varying behaviors of each pedestrian using Ba…