Kentaro Saito
Papers
2
Total Citations
15
H-Index
2
About
Kentaro Saito is a leading researcher in wireless sensing and cyber-physical systems, with a focus on device-free motion tracking and propagation simulation. His most cited work, "Analysis of Non-Intrusive Hand Trajectory Tracking by Utilizing Micro-Doppler Signature Obtained From Wi-Fi Channel State Information" (2020, 8 citations), pioneers a novel approach to gesture recognition by extracting micro-Doppler signatures from Wi-Fi signals, enabling non-intrusive, ubiquitous hand trajectory tracking without wearable sensors. This breakthrough has significant implications for human-computer interaction and smart environments. In his 2022 paper "Dynamic Propagation Simulation Method from LiDAR Point Cloud Data for Smart Office Scenario" (7 citations), Saito advances cyber-physical systems by integrating LiDAR data with dynamic propagation models, allowing for realistic, real-time simulation of wireless channels in complex indoor spaces. This work supports the development of adaptive ICT infrastructure for smart offices and IoT applications. Saito’s contributions bridge physical sensing and digital simulation, offering scalable solutions for motion-aware, context-responsive environments. His research is highly cited for its practical impact on wireless sensing and system design, making him a notable figure in the evolution of smart, sensor-driven technologies.
Research Focus
Key Achievements
Top Papers
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- 2