Seoul, South Korea

Hyunmyung Cho


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovator Hyunmyung Cho: Pioneering Real-Time Stress Analysis

Introduction: Hyunmyung Cho, an accomplished inventor based in Seoul, South Korea, has made significant contributions in the field of stress analysis through his innovative methodologies. With a focus on integrating deep neural networks into bio-signal processing, his work holds great promise for enhancing the understanding and management of stress levels in individuals.

Latest Patents: Hyunmyung Cho is credited with one notable patent titled "Method for Real Time Analyzing Stress Using Deep Neural Network Algorithm." This groundbreaking invention involves a multifaceted approach to stress analysis, encompassing the acquisition of bio-signals from a test subject, the calculation of stress probabilities using deep neural network techniques, and the estimation of the most probable stress level. The final output is an estimated stress level value that has been deemed useful through a thorough determination process.

Career Highlights: Hyunmyung Cho is currently associated with the Korea Institute of Science and Technology, where he leverages his expertise to advance research in the area of stress analysis. His innovative mindset and technical skills have led to the development of cutting-edge solutions that can potentially improve mental health monitoring and management.

Collaborations: In his professional journey, Hyunmyung Cho collaborates with esteemed colleagues such as Inchan Youn and Kuiwon Choi. Together, they contribute to the collective knowledge and exploration of innovative methodologies in their field, furthering the impact of their research in stress evaluation.

Conclusion: With a pioneering spirit and a dedication to innovation, Hyunmyung Cho continues to shape the landscape of stress analysis through technology. His patent and ongoing research efforts exemplify the potential of integrating advanced algorithms into practical applications, promising significant advancements in mental health awareness and support.

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