Hoon Ko

Papers

Total Citations

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About

Hoon Ko is a researcher at the intersection of brain-computer interfaces (BCI), intelligent robotics, and ubiquitous computing. His work focuses on developing systems that bridge human neural signals with robotic assistance, particularly for rehabilitation. His most cited paper, "Design and Implementation of BCI-based Intelligent Upper Limb Rehabilitation Robot System" (2020, 39 citations), introduces a non-invasive system using an Emotiv EPOC Neuroheadset to measure EEG signals, enabling intelligent upper limb rehabilitation. To optimize performance, Ko integrates a genetic algorithm, demonstrating a novel approach to adaptive, user-responsive therapy. Beyond BCI, Ko has contributed to the foundational infrastructure of service robotics, as seen in his work "A Smart Service Robot Middleware on Ubiquitous Network Environments" (2014, 4 citations), which addresses the critical need for robust, client-server-based middleware to support seamless robot service development in networked environments. This dual focus—on both the neural interface and the underlying software architecture—highlights Ko’s comprehensive approach to making intelligent robotic systems more accessible, adaptive, and integrated into everyday life. His work is particularly relevant for students and researchers exploring assistive robotics, human-robot interaction, and pervasive computing.