Tanasak Phanprasit

Papers

Total Citations

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About

Tanasak Phanprasit is a researcher specializing in assistive technology, human-robot interaction, and Thai speech recognition. His work focuses on developing intelligent systems to aid individuals with disabilities, particularly the visually impaired. In his most cited paper, "Information signs compression and classification using vector quantization and neural network for blind man tourisms navigation system" (2008, 4 citations), Phanprasit introduced a vision-based robot guidance system that compresses and classifies information signs, enabling autonomous navigation for blind tourists. This dual-function algorithm—combining image compression with neural network-based classification—demonstrates an innovative approach to real-time environmental interpretation. His second notable work, "Controlling robot using Thai Speech Recognition based on Eigen Sound" (2014, 3 citations), advances human-robot interaction by applying Fast Fourier Transform and Principal Component Analysis to extract speech features for Thai language commands. This Eigen Sound method enables reliable voice control of robots, bridging language-specific challenges in assistive robotics. Though his citation counts are modest, Phanprasit’s contributions are significant for their practical applications in accessibility and Thai-language technology, laying groundwork for future developments in inclusive navigation and voice-controlled systems.