activity
20172019
most citedThe Emotionally Intelligent Robot: Improving Social Navigation in Crowded Environments

17 citations · 20 across the 5 of their papers we have counts for

collaborators

11 papers

cs.CV2019

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.HC20192 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

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

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…

cs.RO201917 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…