Sosyal Robotlar için Çocuklarda Yüz Eylem Birimi Tespitinde Maskeleme ve Sikiştirma Teknikleri

Translated title of the contribution: Masking and Compression Techniques for Efficient Action Unit Detection of Children for Social Robots

Erhan Bicer, Seyma Takir, Cemal Gurpinar, Pinar Uluer, Hatice Kose

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

Abstract

This paper proposes masking and compression techniques for action unit detection of children to be used on a social robot. The aim of the study is to develop a real-time action unit-based emotion recognition module based on limited processing power and lower memory comsumption on the robot. For this purpose, the effect of various preprocessing techniques and image compression methods on action unit recognition of children are observed. The results show that preprocessing steps that will constrain the robot's response time, can be excluded in our real-time applications.

Translated title of the contributionMasking and Compression Techniques for Efficient Action Unit Detection of Children for Social Robots
Original languageTurkish
Title of host publication2022 30th Signal Processing and Communications Applications Conference, SIU 2022
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665450928
DOIs
Publication statusPublished - 2022
Event30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Turkey
Duration: 15 May 202218 May 2022

Publication series

Name2022 30th Signal Processing and Communications Applications Conference, SIU 2022

Conference

Conference30th Signal Processing and Communications Applications Conference, SIU 2022
Country/TerritoryTurkey
CitySafranbolu
Period15/05/2218/05/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

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