Hand Gesture Design Using Bionic Prosthetic Hand


  • L. K. Meng Southern University College
  • T. T. Swee Universiti Teknologi Malaysia
  • T. F. T. Matthias Universiti Teknologi Malaysia
  • J. Sheikh Universiti Teknologi Malaysia
  • C. B. Seng Southern University College
  • D. Nordin Southern University College
  • T. J. Hou Southern University College




Assistive device, Brain computer interface, Cyton, Mental activity, Mental task, Wheelchair


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.

Author Biographies

L. K. Meng, Southern University College

Leong Kah Meng is a lecturer in Southern University College. He is currently pursuing the Ph.D degree in biomedical engineering at Universiti Teknologi Malaysia. He received his Master (Bio-engineering) from Universiti Teknologi Malaysia (UTM), Johor, Malaysia in 2017 and his B. Eng (Electrical - Engineering) degree from Universiti Teknologi Malaysia in 2013. His research interest covers wireless power transfer, medical device, electromagnetic safety, biomedical image processing, deep learning and control system.

T. T. Swee, Universiti Teknologi Malaysia

Tan Tian Swee received his Masters and Doctorate certification back in the year 2004 and 2008 from Universiti Teknologi Malaysia, respectively. His research area encompasses the area of Digital Signal Processing and Electrical Mechatronics and has in excess of 57 indexed publications in high impact factor journals and various other publications in non-ordered journals, conference proceedings and book chapters subsequently establishing his expertise in the domain. He has spearheaded numerous projects and has obtained renowned awards from various sources, and one of his notable striking achievements is the collaboration between UTM and IJN. He is presently serving as Associate Professor at the Faculty of Biomedical Engineering, UTM, and furthermore fills in as a Director in the Faculty of Biomedical Engineering. He has in excess of more than 24 PhD and 19 MSc graduates on his portfolio. His extra portfolio incorporates being an member from the Medical Device and Technology Group (MediTEG) and Frontier Materials Research alliance. He has additionally been awarded various awards both at public and global level for different projects.

T. F. T. Matthias, Universiti Teknologi Malaysia

Matthias Tiong Foh Thye was born in Kuching, Sarawak, Malaysia, in 1994. He received the B. Eng (Electrical- Engineering) degree from the Universiti Teknologi Malaysia (UTM), Skudai, Malaysia, in 2018 and is currently pursuing the Ph.D degree in biomedical en- gineering at the Universiti Teknologi Malaysia (UTM), Skudai, Malaysia. He is conducting the research on the wireless power transfer for bio- medical application. His research interests are in human tissue dielectric properties, electromagnetic safety, and image processing.

C. B. Seng, Southern University College

Chan Bun Seng is a lecturer in Southern University College since 2018 until now. Currently, he is serving as Head of the Electrical and Electronics Engineering Department and pursuing his Ph.D. in Electrical and Electronic Engineering at the University Malaysia of Sabah. He received his Master of Engineering in Electrical and Electronic Engineering and Bachelor of Engineering (Honours) in Electrical and Electronic Engineering from the same institution in 2015 and 2012, respectively. He also received his Diploma in Electronic Engineering (Medical) from Politeknik Sultan Salahuddin Abdul Aziz Shah (PSA) in 2007. His research interest covers medical device development, biomedical signal processing, Micro/ Nanoelectronic, renewable energy, and AI.

D. Nordin, Southern University College

Dr Nur Dalilah binti Nordin is an Assistant Professor at Faculty of Engineering & Information Technology, Southern University College. She received a bachelor’s degree holder in Engineering (Electrical) and PhD in Electrical Engineering, from Universiti Teknologi Malaysia. Her research specialized in the design, optimization, energy management, and simulation of renewable energy.

T. J. Hou, Southern University College

 Tan Jia Hou was born in Kluang, Johor, Malaysia in 1992. He received the B. Eng. (Electrical-Mechatronic) degree from Universiti Teknologi Malaysia (UTM), Skudai, Malaysia, in year 2016 and  Ph.D degree in Biomedical Engineering at University Teknologi Malaysia (UTM), Skudai, Malaysia, in year 2020. He is conducting the research on artificial intelligence based system controller for Negative Pressure Wound Therapy (NPWT) machine. Previously, he did his internship (Assistant Engineer) at Coronation Palm Oil Mill, Kian Hoe Plantation Berhad (Kluang), R&D Engineer at Shimano Components Malaysia Sdn. Bhd. , and PIE engineer at GP Batteries (M) Sdn. Bhd.  He had published Incorporating Fuzzy Logic into an Adaptive Negative Pressure Wound Therapy Device Journal of Telecommunication, Electronic and Computer Engineering (JTEC), Vol. 9, No. Issue 4, Page 85-89, Application of Matlab-based Interface for the Control of Microbioreactor Operation Jurnal Teknologi, (Vol. 80, No. Issue 6) , Two-N input output mapping relationship fuzziness adaptation approach for fuzzy based negative pressure wound Therapy system, Expert Systems with Applications, (Volume 208 , 2022 , 118206 , ISSN 0957-4174 ,  https://doi.org/10.1016/j.eswa.2022.118206 ) and others.



How to Cite

Leong, K. M., Tan, T. S., Tiong Foh Thye, M., Sheikh, J., Chan , B. S., Nordin, D. ., & Tan, J. H. (2023). Hand Gesture Design Using Bionic Prosthetic Hand. Journal of Human Centered Technology, 2(1), 43–50. https://doi.org/10.11113/humentech.v2n1.41




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