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

by   Tanmay Randhavane, et al.

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 recorded many participants performing tasks involving deceptive walking. We extract the participants' walking gaits as series of 3D poses. We annotate various gestures performed by participants during their tasks. Based on the gait and gesture data, we train an LSTM-based deep neural network to obtain deep features. Finally, we use a combination of psychology-based gait, gesture, and deep features to detect deceptive walking with an accuracy of 93.4 gait and gesture features and an improvement of 5.9 based on the state-of-the-art emotion and action classification algorithms, respectively. Additionally, we present a novel dataset, DeceptiveWalk, that contains gaits and gestures with their associated deception labels. To the best of our knowledge, ours is the first algorithm to detect deceptive behavior using non-verbal cues of gait and gesture.


page 1

page 3

page 5

page 6


Identifying Emotions from Walking using Affective and Deep Features

We present a new data-driven model and algorithm to identify the perceiv...

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

We present a data-driven algorithm for generating gaits of virtual chara...

Human Gesture and Gait Analysis for Autism Detection

Autism diagnosis presents a major challenge due to the vast heterogeneit...

MorphoArms: Morphogenetic Teleoperation of Multimanual Robot

Nowadays, there are few unmanned aerial vehicles (UAVs) capable of flyin...

Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia

Video-based ambient monitoring of gait for older adults with dementia ha...

Accelerometer-Based Gait Segmentation: Simultaneously User and Adversary Identification

In this paper, we introduce a new gait segmentation method based on acce...

Please sign up or login with your details

Forgot password? Click here to reset