Sumio Hosaka

Papers

Total Citations

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About

Sumio Hosaka is a pioneering researcher in the field of soft electronics and intelligent sensor systems, with a particular focus on developing advanced electronic skin (e-skin) technologies. His most cited work, "Smart electronic skin having gesture recognition function by LSTM neural network" (2018, 23 citations), addresses critical challenges in artificial skin development, including fabrication complexity and production costs. Hosaka's major contribution lies in integrating deep learning—specifically Long Short-Term Memory (LSTM) neural networks—with flexible electronics to create e-skin capable of autonomously recognizing gestures and stimuli. This innovation significantly enhances the "smartness" of artificial skin, moving beyond simple sensing to intelligent interpretation. By combining materials engineering with machine learning, his work bridges the gap between soft robotics and human-machine interfaces, offering scalable solutions for prosthetics, wearable health monitors, and interactive robotics. Though his citation count is modest, the interdisciplinary nature of his research has influenced emerging efforts to make e-skin both affordable and cognitively responsive, marking him as a key figure in the next generation of intelligent, flexible sensors.