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 contribution | Masking and Compression Techniques for Efficient Action Unit Detection of Children for Social Robots |
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Original language | Turkish |
Title of host publication | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781665450928 |
DOIs | |
Publication status | Published - 2022 |
Event | 30th Signal Processing and Communications Applications Conference, SIU 2022 - Safranbolu, Turkey Duration: 15 May 2022 → 18 May 2022 |
Publication series
Name | 2022 30th Signal Processing and Communications Applications Conference, SIU 2022 |
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Conference
Conference | 30th Signal Processing and Communications Applications Conference, SIU 2022 |
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Country/Territory | Turkey |
City | Safranbolu |
Period | 15/05/22 → 18/05/22 |
Bibliographical note
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