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Organic Gel Sensors & AI Combination Published in Top Academic Journal

A research team, led by Professor Kim Sang-jae (Department of Mechanical Systems Engineering), Professor Byun Young-cheol (Department of Computer Engineering), and Dr. Kusum Sharma (first author, affiliated with Jeju National University's Green Hydrogen Glocal Research Center (RLRC) and the BK21 Jeju Energy New Industry Education Research Group), successfully developed an ultra-sensitive organic gel pressure sensor, essential for next-generation human-machine interfaces. They then combined this sensor with AI technology for real-time monitoring of letter recognition and biomechanical movements.

The results of this study were published online on September 8 in Nano-Micro Letters, a journal renowned for its authority in the field of nano/micro technology. Print publication is scheduled for the 18th issue of 2026.

The pressure sensor developed by the research team is based on a soft material called organic gel, which is flexible and lightweight, akin to electronic skin. The sensor can accurately detect even minor pressure changes and boasts high durability, maintaining performance even in extreme environments such as minus 20 degrees Celsius or high humidity.

Professor Kim's team, experts in materials and sensors, designed high-sensitivity organic gel materials and sensor structures. Professor Byun's team, experts in computer science and AI, integrated a deep learning system capable of analyzing complex and vast amounts of sensor-collected data. This sensor-AI fusion technology, developed through organic cooperation between the two teams, successfully achieved real-time recognition of handwritten alphabetic characters on sensors with 98% accuracy. Furthermore, it demonstrated precise monitoring of various biomechanical movements, including heart rate, pulse, joint movement, and neck tremors during speech.

The combination of ultra-sensitive sensors and advanced deep learning analysis technology can accurately detect micro-vibrations or state changes in facilities within new energy industries, where high efficiency is essential. This enhances system safety and efficiency, providing a crucial foundation for building an intelligent sensor infrastructure that specifically monitors the real-time operation of green hydrogen production facilities.