Applicability of RF-based methods for emotion recognition: A survey

Muneeba Raja, Stephan Sigg

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

15 Citations (Scopus)

Abstract

Human emotion recognition has attracted a lot of research in recent years. However, conventional methods for sensing human emotions are either expensive or privacy intrusive. In this paper, we explore a connection between emotion recognition and RF-based activity recognition that can lead to a novel ubiquitous emotion sensing technology. We discuss the latest literature from both domains, highlight the potential of body movements for accurate emotion detection and focus on how emotion recognition could be done using inexpensive, less privacy intrusive, device-free RF sensing methods. Applications include environment and crowd behaviour tracking in real time, assisted living, health monitoring, or also domestic appliance control. As a result of this survey, we propose RF-based device free recognition for emotion detection based on body movements. However, it requires overcoming challenges, such as accuracy, to outperform classical methods.

Original languageEnglish
Title of host publication2016 IEEE International Conference on Pervasive Computing and Communication Workshops, PerCom Workshops 2016
PublisherIEEE
Number of pages6
ISBN (Electronic)978-1-5090-1941-0, 978-1-5090-1940-3
DOIs
Publication statusPublished - 19 Apr 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Conference on Pervasive Computing and Communications Workshops - Sydney, Australia
Duration: 14 Mar 201618 Mar 2016
Conference number: 13

Conference

ConferenceIEEE International Conference on Pervasive Computing and Communications Workshops
Abbreviated titlePerCom Workshops
CountryAustralia
CitySydney
Period14/03/201618/03/2016

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