Toward Smart Internet of Things (IoT) Devices: Exploring the Regions of Interest for Recognition of Facial Expressions using Eye-gaze Tracking

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A significant portion of the internet of things (IoT) devices will become reliable products in our daily life if and only if they are equipped with strong human computer interaction (HCI) technologies, specifically visual interaction with users through affective computing. One of the major challenges faced in affective computing is recognizing facial expressions and the true emotions behind them. Despite numerous studies performed, current detection systems are ineffective at correctly identifying facial expressions with reliable accuracy, especially in case of negative expressions. Several research projects attempted to extract the recognition process that humans follow to identify facial expressions in order to replicate in smart machines without a significant success. This paper describes our interdisciplinary project whose goal is to extract and define the recognition process that humans follow when identifying the facial expressions of others. We monitor this process by identifying and analyzing the regions of interest participants look at when they are shown static emotions samples under a specific experimental setup. This paper reports the current status of data collection, experimental setup, and initial data visualization.

Original languageEnglish (US)
Title of host publication2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728154428
DOIs
StatePublished - Aug 30 2020
Event2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020 - London, Canada
Duration: Aug 30 2020Sep 2 2020

Publication series

NameCanadian Conference on Electrical and Computer Engineering
Volume2020-August
ISSN (Print)0840-7789

Conference

Conference2020 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2020
Country/TerritoryCanada
CityLondon
Period8/30/209/2/20

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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