%0 Journal Article
	%A Maryam Alimardani and  Kazuo Hiraki
	%D 2017
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 122, 2017
	%T Development of a Real-Time Brain-Computer Interface for Interactive Robot Therapy: An Exploration of EEG and EMG Features during Hypnosis
	%U https://publications.waset.org/pdf/10006374
	%V 122
	%X This study presents a framework for development of a
new generation of therapy robots that can interact with users by
monitoring their physiological and mental states. Here, we focused
on one of the controversial methods of therapy, hypnotherapy.
Hypnosis has shown to be useful in treatment of many clinical
conditions. But, even for healthy people, it can be used as an
effective technique for relaxation or enhancement of memory and
concentration. Our aim is to develop a robot that collects information
about user’s mental and physical states using electroencephalogram
(EEG) and electromyography (EMG) signals and performs costeffective
hypnosis at the comfort of user’s house. The presented
framework consists of three main steps: (1) Find the EEG-correlates
of mind state before, during, and after hypnosis and establish a
cognitive model for state changes, (2) Develop a system that can
track the changes in EEG and EMG activities in real time and
determines if the user is ready for suggestion, and (3) Implement our
system in a humanoid robot that will talk and conduct hypnosis on
users based on their mental states. This paper presents a pilot study in
regard to the first stage, detection of EEG and EMG features during
	%P 187 - 195