Special Session V

Call for Papers & Submission

Machine Vision based Stress, Cognition, and Emotion Sensing in Driver/Occupant Monitoring Systems

The management and transfer of vehicular control between a driver and in-built computational intelligence is a key challenge as the automotive roadmap evolves fully autonomous vehicles. Today we can determine some basic attributes of a driver – analysis of the eye-region enables a determination of drowsiness and gaze. However, the next generation of driven monitoring systems need an improves understanding of the humans within a vehicle – their emotional and cognitive states, their interactions, both with the vehicle itself and between one another, and the levels of driver stress. Today, machine vision can only provide rudimentary solutions, but a fusion of machine vision systems with bio-signals (EEG, heart rate & breathing) and multi-modal imaging, such as thermal vision, can provide a basis for new data-driven machine vision systems that can more accurately and reliably understand the humans in a vehicular environment. This session seeks to explore some of the emerging potential of data-driven machine vision systems in the context of the next generation of non-contact, in-cabin driver monitoring technologies.


Prof. Peter Corcoran (IEEE Fellow), C3I Imaging Centre, College of Science & Engineering, National University of Ireland Galway (www.nuigalway.ie/c3i)
Prof. Corcoran is an IEEE Fellow, recognized for his contributions to digital camera technology and is recognized as the #1 Computer Science researcher in Ireland by www.research.com
Dr. Joseph Lemley, Director of Research, Xperi Corporation, Ireland (www.xperi.com)
Dr. Lemley leads a research cluster of c.20 engineers at Xperi corporation (www.Xperi.com) with a focus on advanced Driver & Occupant monitoring technologies.
Prof. Arcangelo Merla, Dipartimento di Ingegneria e Geologia, University of Chieti-Pescara (www.unich.it/)
Prof. Merla is one of the leading researchers in Europe on thermal vision systems and their application in parasympathetic behavioural analysis.

The sessions covers (but is not limited to) papers on

– Machine-vision algorithms, neural models and techniques for improved driver sensing
– Multi-modal imaging for driver and occupant behaviours (NIR, thermal imaging, neuromorphic [event camera] imaging systems & techniques, including hybrid imaging)
– Data Annotation, Augmentation and Acquistion techniques for MV based driver sensing
– New Datasets for MV based sensing of cognitive, emotional or stress of subjects
– Training methodologies or experimental frameworks for neural machine vision algorithms and models

Important Dates

Proposal Deadline  September 30, 2022
Notification  October 10, 2022

Submission Guide

Firstly, submit your contributions via Electronic Submission System; ( .pdf only)
Then, please send an e-mail to secretary@icmv.org, and note you are interested in Special session Machine Vision based Stress, Cognition, and Emotion Sensing in Driver/Occupant Monitoring Systems

"We sincerely invite you and your colleagues immediately mark this event on your calendar and make your plans to Rome, Italy!"
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