Hand gesture design using bionic prosthetic hand.
Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Penerbit UTM Press
2023
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| Subjects: | |
| Online Access: | http://eprints.utm.my/108790/1/MatthiasTiongFohThye2023_HandGestureDesignUsingBionicProstheticHand.pdf http://eprints.utm.my/108790/ http://dx.doi.org/10.11113/humentech.v2n1.41 |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |
| Summary: | Brain computer interface (BCI) system empowers command over external device by retrieving brain waves and interpreting them into machine instructions. The system utilizes electroencephalogram (EEG) for receiving, processing and classifying signals to control by means of brain generated signals. The paper focuses on mental task design for BCI by acquiring the signals generated by mental activity through EEG comb electrodes, placed over three-dimensional (3D) printed headset. The experiment involved the blinking of left and right eye for the forward and backward movements of the prototype wheelchair. The experimental measurement was performed using a Cyton board where the information was transmitted through Bluetooth which were later processed and translated to the wheelchair to perform activities. The system has successfully achieved the real time control of an assistive device by using signals from the brain. |
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