Acquisition and processing of Motor Imagery and Motor Execution Dataset (MIMED) for six movement activities
I Made Agus Wirawan,
Dechrit Maneetham,
I Gede Mahendra Darmawiguna,
Arnon Niyomphol,
Pakornkiat Sawetmethikul,
Padma Nyoman Crisnapati,
Yamin Thwe,
Ni Nyoman Mestri Agustini
Affiliations
I Made Agus Wirawan
Data Science Lab, Engineering and Vocational Faculty, Universitas Pendidikan Ganesha, Udayana Street, No. 11 Singaraja, Bali, 81116, Indonesia; Corresponding author.
Dechrit Maneetham
Mechatronics Engineering lab, Faculty of Technical Education, Rajamangala University of Technology Thanyabur, 39 หมู่ที่ 1 ถนน รังสิต - นครนายก Tambon Khlong Hok, Amphoe Khlong Luang, Chang Wat Pathum Thani 12110, Thailand
I Gede Mahendra Darmawiguna
Data Science Lab, Engineering and Vocational Faculty, Universitas Pendidikan Ganesha, Udayana Street, No. 11 Singaraja, Bali, 81116, Indonesia
Arnon Niyomphol
Electrical Engineering Lab, Faculty of Technical Education, Rajamangala University of Technology Thanyabur, 39 หมู่ที่ 1 ถนน รังสิต - นครนายก Tambon Khlong Hok, Amphoe Khlong Luang, Chang Wat Pathum Thani 12110, Thailand
Pakornkiat Sawetmethikul
Electrical and Automation Systems Engineeeing, Faculty of Technical Education, Rajamangala University of Technology Thanyabur, 39 หมู่ที่ 1 ถนน รังสิต - นครนายก Tambon Khlong Hok, Amphoe Khlong Luang, Chang Wat Pathum Thani 12110, Thailand
Padma Nyoman Crisnapati
Mechatronics Engineering lab, Faculty of Technical Education, Rajamangala University of Technology Thanyabur, 39 หมู่ที่ 1 ถนน รังสิต - นครนายก Tambon Khlong Hok, Amphoe Khlong Luang, Chang Wat Pathum Thani 12110, Thailand
Yamin Thwe
Mechatronics Engineering lab, Faculty of Technical Education, Rajamangala University of Technology Thanyabur, 39 หมู่ที่ 1 ถนน รังสิต - นครนายก Tambon Khlong Hok, Amphoe Khlong Luang, Chang Wat Pathum Thani 12110, Thailand
Ni Nyoman Mestri Agustini
Medicine Faculty, Universitas Pendidikan Ganesha, Udayana Street, No. 11 Singaraja, Bali, 81116, Indonesia
The MIMED dataset is a dataset that provides raw electroencephalogram signal data for activities: raising the right-hand, lowering the right-hand, raising the left-hand, lowering the left-hand, standing, and sitting. In addition to raw data, this dataset provides feature data that undergoes a baseline reduction process. The baseline reduction process is a process to increase the value of EEG signal features. The feature values of the enhanced EEG signal can be easily recognized in the classification process. The device used is Emotiv Epoc X, which consists of 14 channels. Participants involved in this experiment were 30 students from the Bali region in Indonesia. Four recording scenarios were carried out on the first day and four further scenarios on the second day. Two datasets were obtained based on the recording scenario: the motor movement and image datasets. The duration of motor execution is 40 minutes, while motor imagery is 8 minutes for each scenario.
