An EEG-based robot arm control to express human emotions

Mikito Ogino, Yasue Mitsukura

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Prosthetic limbs are designed to move naturally like human limbs. To reduce the feeling of abnormality when moving prosthetic limbs, previous studies have altered the appearance of robotic limbs along with the speed of the motors inside these limbs. The use of the wearer's emotions to control prosthetic limbs would allow robotic arms and legs to move more naturally. Recently, electroencephalograms (EEGs) have been used to estimate human emotions. In this study, we developed an emotion analyzer and applied it in a robotic arm system that changes its movement based on the user's emotions. In the proposed system, EEG data are measured by a simplified EEG headset and transferred to an iPad. An iPad application then transforms the signal to a value of 'wakuwaku' feeling using the band-pass filtering, fast Fourier transform, and support vector machine methods. The accuracy of the algorithm estimating the wakuwaku feeling was 75.10%, and the robot arm moved accurately based on the user emotion estimated from the EEG data. Our findings are expected to lead to a new field of study focused on controlling robot arms using human emotions.

本文言語English
ホスト出版物のタイトルProceedings - 2018 IEEE 15th International Workshop on Advanced Motion Control, AMC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ322-327
ページ数6
ISBN(電子版)9781538619469
DOI
出版ステータスPublished - 2018 6 1
イベント15th IEEE International Workshop on Advanced Motion Control, AMC 2018 - Tokyo, Japan
継続期間: 2018 3 92018 3 11

Other

Other15th IEEE International Workshop on Advanced Motion Control, AMC 2018
国/地域Japan
CityTokyo
Period18/3/918/3/11

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ サイエンスの応用
  • 機械工学
  • 制御と最適化

フィンガープリント

「An EEG-based robot arm control to express human emotions」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル