Ho-Sun Shin

Papers

Total Citations

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About

Ho-Sun Shin is a researcher at the forefront of assistive robotics and human-machine interaction, with a specialized focus on electromyography (EMG)-based control systems for upper-limb prosthetics. His most influential work, "Study on Virtual Control of a Robotic Arm via a Myo Armband for the Self-Manipulation of a Hand Amputee" (2016, 28 citations), pioneers the use of a commercial Myo armband to capture EMG signals, gyroscope, and accelerometer data for intuitive, real-time control of a virtual robotic arm. This research demonstrates how muscle electrical activity can be translated into precise manipulation commands, offering a non-invasive, accessible solution for amputees. In his earlier foundational study, "Design of a Virtual Robotic Arm based on the EMG Variation" (2015, 6 citations), Shin established the technical framework for integrating biosignal acquisition with Unity 3D simulation environments, enabling seamless wireless control via Bluetooth. By validating that EMG signals provide clearer, more reliable muscle data than alternative sensors, Shin has advanced the practical viability of myoelectric prosthetics. His work bridges the gap between biomedical signal processing and virtual reality, laying critical groundwork for affordable, user-friendly assistive devices that restore functional independence to individuals with limb loss.