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Low-Cost Brainwave Controller

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With the advent of more sensitive biosensors in capturing the ionic current flows generated by the human brain more and more human-computer interaction system can be developed further. By analyzing the electrical impulses one can in theory “predict” thoughts and orders by human brain and utilizes programming to organize that raw information into usable instructional codes. The programming code then translates that impulses to provide control mechanism mainly for automation and robotic aided systems. This paper explores the potential of noninvasive low-cost method that tailored to support wheelchair system by utilization of frontal forehead point with single electrode. This is to potentially assist those that are unable to use their physical motor systems such as a patient of ALS (Amyotrophic Lateral Sclerosis) and other neuromuscular dystrophy disorders. Normally, the automation system is developed with very expensive equipment and complex technologies. Thus, an effort exploited here is to develop a robotic support system by using low-cost yet operative brainwave sensor system. This could prove extremely valuable in promoting a better quality of living for a patient plagued with debilitating motor disorders with limited financial support.
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Keywords: Brainwave; Human Computer Interaction; Medical Automation; Wheelchair

Document Type: Research Article

Affiliations: Physics with Electronics Programme, Faculty Science and Natural Resources, Universiti Malaysia Sabah, Jalan UMS, 88400, Kota Kinabalu, Sabah, Malaysia

Publication date: November 1, 2017

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