Kun-chan Lan

Papers

Total Citations

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About

Kun-chan Lan is a researcher whose work bridges the gap between traditional medicine and modern technology, with a primary focus on automated acupressure therapy and biomedical engineering. His most notable contribution is the development of a system for automated acupressure therapy, as detailed in his 2018 paper "Toward Automated Acupressure Therapy," which has garnered 2 citations. In this work, Lan implemented an acupuncture points localization method on an Android platform, enabling precise identification of relevant acupoints. This system can be used to guide a robot arm for symptom relief through acupressure, offering a novel approach to integrating ancient healing practices with robotics and mobile technology. While his citation count is modest, Lan's work represents an innovative step toward making traditional therapies more accessible and consistent through automation. His research holds potential for applications in pain management and stress relief, showcasing a unique intersection of healthcare, computer vision, and human-robot interaction.