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2023年第一届研究、创新、创意展
(R.I.C.E'23)
Project ID:
MEEN101
BCI Smart Wheelchair using SSVEP
Project Title:
Category:
Medical
Inventors:
Leong Kah Meng, PM. Ir. Dr. Tan Tian Swee, PM. Ir. Dr. Azli bin Yahya, Arief Ruhullah Bin Harris,
Matthias Tiong Foh Thye, Ngeu Chee Hao @ Yeo Chee Hao, Jahanzeb Skeikh
Institution/Company:
Southern University College, Universiti Teknologi Malaysia
Invention Description/ Abstract:
Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and making an interpretation of them into machine instructions. The process involves three stages; initiating with data acquisition followed by signal processing lastly wheelchair control framework. The objective of this project is to develop a smart wheelchair with BCI – based control system using Bluetooth communication module and capture the EEG data as the control signal for the movement of BCI wheelchair using SSVEP technique. The EEG signals are obtained using SSVEP technique from the scalp and post-processing to the signals are performed. There is a total of 4 signals (12Hz, 13Hz, 14Hz and 15Hz) are used to control the movement of wheelchair in four directions (forward, backward, turn right and left). The wheelchair is finally controlled with the commands deciphered from the data acquired by bio-electrodes. The outcomes approved the proficiency of our BCI framework to control different bearings of wheelchair.
Invention Technical Description
The SSVEP BCI control system proposed in this work is composed of two main subsystems: The SSVEP processing system and the wheelchair. EEG signals are transmitted using Bluetooth from the bio-electrodes. The EEG signals are obtained using SSVEP technique from the scalp and post-processing to the signals are performed. The wheelchair consist of bluetooth module and Arduino Uno as the control system. The bluetooth module is act as the communication between electric-wheelchair and Ultracortex Mark IV EEG Headset and Cyton. The experimental begin with the SSVEP video stimulus training for the patients to train the BCI visual cortex which consist of few trials until the patients provide the correct waveform of 11Hz, 12 Hz, 13Hz and 14Hz. Every trial has a length of 30s and consists of four sections: (1) stimulus presentation, (2) visualization period, and (3) rest period and stimulus change. After that patient can start to watch at the special design SSVEP controller to control the wheelchair in four directions which is moving forward, moving backward, turn left and turn right.
Demostration/ Presentation Video
Poster/ Broucher/ Invention Photo
Video Link
Poster Link
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