Haengson Son

Papers

Total Citations

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About

Haengson Son is a researcher focused on embedded systems and real-time computer vision, with a particular emphasis on efficient hand gesture recognition. His most notable contribution is the design of a hand skeleton extraction accelerator, which addresses the critical challenge of enabling accurate, real-time hand gesture recognition in resource-constrained environments such as automobiles, robotics, and gaming. By offloading the computationally intensive skeleton extraction process to a dedicated hardware accelerator, Son’s work bridges the gap between high-accuracy algorithms and the stringent latency and power requirements of embedded platforms. While his most-cited paper currently holds 1 citation, it represents a foundational step toward practical, low-latency human-machine interaction. Son’s research is particularly relevant for advancing intuitive control systems in autonomous vehicles and interactive robots, where real-time performance is non-negotiable. His work underscores the importance of hardware-software co-design in making sophisticated AI-driven perception feasible for everyday devices, positioning him as a contributor to the next generation of responsive, embedded vision systems.