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DIF : Dataset of Perceived Intoxicated Faces for Drunk Person Identification

Authors:

Sai Srinadhu Katta,

Devendra Pratap Yadav,

Abhinav DhallAuthors Info & Claims

ICMI '19: 2019 International Conference on Multimodal Interaction

Pages 367 - 374

https://doi.org/10.1145/3340555.3353754

Published: 14 October 2019 Publication History

Abstract

Traffic accidents cause over a million deaths every year, of which a large fraction is attributed to drunk driving. An automated intoxicated driver detection system in vehicles will be useful in reducing accidents and related financial costs. Existing solutions require special equipment such as electrocardiogram, infrared cameras or breathalyzers. In this work, we propose a new dataset called DIF (Dataset of perceived Intoxicated Faces) which contains audio-visual data of intoxicated and sober people obtained from online sources. To the best of our knowledge, this is the first work for automatic bimodal non-invasive intoxication detection. Convolutional Neural Networks (CNN) and Deep Neural Networks (DNN) are trained for computing the video and audio baselines, respectively. 3D CNN is used to exploit the Spatio-temporal changes in the video. A simple variation of the traditional 3D convolution block is proposed based on inducing non-linearity between the spatial and temporal channels. Extensive experiments are performed to validate the approach and baselines.

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Cited By

Islam RBae S(2024)FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic SettingsProceedings of the ACM on Human-Computer Interaction10.1145/36765058:MHCI(1-32)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676505
Madhusundar NSurendran RJohnpaul SAppathurai K(2024)An Intelligent Dipsomania Face Detection Model using Spatial and Spectral Graph Neural Network2024 5th International Conference on Smart Electronics and Communication (ICOSEC)10.1109/ICOSEC61587.2024.10722469(1526-1531)Online publication date: 18-Sep-2024
https://doi.org/10.1109/ICOSEC61587.2024.10722469
Rahul Harikumar AGrover TKanchana M(2023)Detection of Intoxication in Automobile Drivers2023 Second International Conference on Electronics and Renewable Systems (ICEARS)10.1109/ICEARS56392.2023.10085153(366-373)Online publication date: 2-Mar-2023
https://doi.org/10.1109/ICEARS56392.2023.10085153
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Published In

cover image ACM Other conferences

ICMI '19: 2019 International Conference on Multimodal Interaction

October 2019

601 pages

ISBN:9781450368605

DOI:10.1145/3340555

Editors:
Wen Gao
Peking University, China
,
Helen Mei Ling Meng
Chinese University of Hong Kong, China
,
Matthew Turk
Toyota Technological Institute at Chicago, USA
,
Susan R. Fussell
Cornell University, USA
,
Björn Schuller
Imperial College London / University of Augsburg, UK
,
Yale Song
Microsoft Research, USA
,
Kai Yu
Shanghai Jiao Tong University, China

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 14 October 2019

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ICMI '19

ICMI '19: INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION

October 14 - 18, 2019

Suzhou, China

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Overall Acceptance Rate 453 of 1,080 submissions, 42%

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Cited By

Islam RBae S(2024)FacePsy: An Open-Source Affective Mobile Sensing System - Analyzing Facial Behavior and Head Gesture for Depression Detection in Naturalistic SettingsProceedings of the ACM on Human-Computer Interaction10.1145/36765058:MHCI(1-32)Online publication date: 24-Sep-2024
https://dl.acm.org/doi/10.1145/3676505
Madhusundar NSurendran RJohnpaul SAppathurai K(2024)An Intelligent Dipsomania Face Detection Model using Spatial and Spectral Graph Neural Network2024 5th International Conference on Smart Electronics and Communication (ICOSEC)10.1109/ICOSEC61587.2024.10722469(1526-1531)Online publication date: 18-Sep-2024
https://doi.org/10.1109/ICOSEC61587.2024.10722469
Rahul Harikumar AGrover TKanchana M(2023)Detection of Intoxication in Automobile Drivers2023 Second International Conference on Electronics and Renewable Systems (ICEARS)10.1109/ICEARS56392.2023.10085153(366-373)Online publication date: 2-Mar-2023
https://doi.org/10.1109/ICEARS56392.2023.10085153
Vijay A(2023)Intelligent Driver Monitoring System for Safe Driving2023 IEEE International Conference on Electrical Systems for Aircraft, Railway, Ship Propulsion and Road Vehicles & International Transportation Electrification Conference (ESARS-ITEC)10.1109/ESARS-ITEC57127.2023.10114838(1-6)Online publication date: 29-Mar-2023
https://doi.org/10.1109/ESARS-ITEC57127.2023.10114838
Jayadev PBellary S(2023)IrisSeg-drunk: enhanced iris segmentation and classification of drunk individuals using Modified Circle Hough TransformIran Journal of Computer Science10.1007/s42044-023-00157-67:1(41-54)Online publication date: 28-Aug-2023
https://doi.org/10.1007/s42044-023-00157-6
Kumar AKumar ASingh MKumar PBijalwan A(2022)An Optimized Approach Using Transfer Learning to Detect Drunk DrivingScientific Programming10.1155/2022/87756072022Online publication date: 1-Jan-2022
https://dl.acm.org/doi/10.1155/2022/8775607
Chen YXue MZhang JOu RZhang QKuang P(2022) DetectDUI : An In-Car Detection System for Drink Driving and BACs IEEE/ACM Transactions on Networking10.1109/TNET.2021.312595030:2(896-910)Online publication date: Apr-2022
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Bhango Zvan der Haar D(2022)A Comparison of Deep Learning Methods for Inebriation Recognition in HumansImage Analysis and Processing – ICIAP 202210.1007/978-3-031-06427-2_51(610-620)Online publication date: 23-May-2022
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Kamath VPai SPoojary SRastogi ASrinivas K(2021)Drunkenness Face Detection using Graph Neural Networks2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS)10.1109/CSITSS54238.2021.9682956(1-6)Online publication date: 16-Dec-2021
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