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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 11, 2018.
Abstract: Human-robot interaction (HRI) is a field of study that defines the relationship between humans and robot. In robot-assisted mental healthcare, there is still a lack in the methodology especially in evaluating the outcome. In this study, PARO; a robot in the shape of a cute baby seal is introduced as an adjunct therapy tool for six rehabilitation patients with post-stroke depression. Currently, the therapy outcome is measured using psychological tools. When a robot is introduced, a new measurement tool is needed to analyse the patients’ response. Thus, this study constructs a tool using OpenCV-Python to detect the number of smiles when each patient interact with PARO. Smile is an indicator of positive emotion and that PARO helps to uplift patient’s mood. The results were then compared with psychological evaluations. Both tools show congruent results. The number of smiles increased when patients were holding PARO and PARO helped all patients to manage their psychological distress. This indicates that smile detection is an effective supporting tool to indicate respond in human-robot interaction.
Winal Zikril Zulkifli, Syamimi Shamsuddin, Fairul Azni Jafar, Rabiah Ahmad, Azizah Abdul Manaf, Alaa Abdulsalam Alarood and Lim Thiam Hwee, “Smile Detection Tool using OpenCV-Python to Measure Response in Human-Robot Interaction with Animal Robot PARO” International Journal of Advanced Computer Science and Applications(IJACSA), 9(11), 2018. http://dx.doi.org/10.14569/IJACSA.2018.091151
@article{Zulkifli2018,
title = {Smile Detection Tool using OpenCV-Python to Measure Response in Human-Robot Interaction with Animal Robot PARO},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.091151},
url = {http://dx.doi.org/10.14569/IJACSA.2018.091151},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {11},
author = {Winal Zikril Zulkifli and Syamimi Shamsuddin and Fairul Azni Jafar and Rabiah Ahmad and Azizah Abdul Manaf and Alaa Abdulsalam Alarood and Lim Thiam Hwee}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.