Clustering of Emotional States under Different Task Difficulty Levels for the Robot-assisted Rehabilitation system-RehabRoby

Yigit Can Aypar, Yunus Palaska, Ramazan Gokay, Engin Masazade, Duygun Erol Barkana, Nilanjan Sarkar

2014

Abstract

In this paper, we study an unsupervised learning problem where the aim is to cluster the emotional state (excitedness, boredom, or stress) using the biofeedback sensor data while subjects perform tasks under different difficulty levels on the robot assisted rehabilitation system-RehabRoby. The dimension of the training vectors has been reduced by using the Principal Component Analysis (PCA) algorithm after collecting the biofeedback sensor measurements from different subjects under different task difficulty levels to better visualize the sensor data. The reduced dimension vectors are fed into a K-means clustering algorithm. Numerical results have been given to demonstrate that for each training vector, the emotional state decided by the clustering algorithm is consistent with the subjects declaration of his/her emotional state obtained via surveys after performing the task.

Paper Citation

in Harvard Style

Aypar Y., Palaska Y., Gokay R., Masazade E., Erol Barkana D. and Sarkar N. (2014). Clustering of Emotional States under Different Task Difficulty Levels for the Robot-assisted Rehabilitation system-RehabRoby . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 34-41. DOI: 10.5220/0005052600340041

in Bibtex Style

@conference{icinco14,
author={Yigit Can Aypar and Yunus Palaska and Ramazan Gokay and Engin Masazade and Duygun Erol Barkana and Nilanjan Sarkar},
title={Clustering of Emotional States under Different Task Difficulty Levels for the Robot-assisted Rehabilitation system-RehabRoby},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={34-41},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005052600340041},
isbn={978-989-758-039-0},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Clustering of Emotional States under Different Task Difficulty Levels for the Robot-assisted Rehabilitation system-RehabRoby
SN - 978-989-758-039-0
AU - Aypar Y.
AU - Palaska Y.
AU - Gokay R.
AU - Masazade E.
AU - Erol Barkana D.
AU - Sarkar N.
PY - 2014
SP - 34
EP - 41
DO - 10.5220/0005052600340041