Won Ang Jang

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About

Won Ang Jang is a researcher whose work lies at the intersection of brain-computer interfaces (BCI), assistive robotics, and rehabilitation engineering. His most cited paper, "Development BCI for individuals with severely disability using EMOTIV EEG headset and robot" (2014, 24 citations), addresses a critical challenge: enabling individuals with severe physical disabilities to control assistive robots without relying on traditional human-computer or human-robot interfaces. By leveraging non-invasive EEG signals from a commercial EMOTIV headset, Jang demonstrated a practical pathway for translating neural activity into robotic commands, offering greater autonomy to those who cannot move freely. This work underscores his broader contributions to accessible, low-cost BCI systems that bridge the gap between advanced neurotechnology and real-world assistive applications. Jang’s research is particularly notable for its focus on user-centered design, prioritizing comfort and usability for individuals with severe handicaps. His efforts highlight a commitment to inclusive technology, where brain signals become a lifeline for communication and control, ultimately aiming to reduce dependence on human caregivers and improve quality of life for the disabled community.