Taoyuan County, Taiwan

Chin-Lung Lee

USPTO Granted Patents = 6 

Average Co-Inventor Count = 3.7

ph-index = 2

Forward Citations = 11(Granted Patents)


Location History:

  • Taoyuan County, TW (2014 - 2017)
  • Taipei, TW (2019 - 2020)

Company Filing History:


Years Active: 2014-2020

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6 patents (USPTO):Explore Patents

Title: The Innovations of Chin-Lung Lee

Introduction

Chin-Lung Lee is a notable inventor based in Taoyuan County, Taiwan. He has made significant contributions to the field of motion recognition technology, holding a total of six patents. His work focuses on enhancing the capabilities of electronic devices through innovative methods and apparatuses.

Latest Patents

One of Chin-Lung Lee's latest patents is a method and apparatus for performing motion recognition using motion sensor fusion, along with an associated computer program product. This invention is designed for application in electronic devices. The method involves utilizing multiple motion sensors to gather sensor data corresponding to each sensor, measured within the device's coordinate system. The sensors include inertial motion sensors, and the process entails performing sensor fusion by converting portions of the sensor data into a global coordinate system. This allows for accurate recognition of the user's motion based on the global coordinate system.

Career Highlights

Throughout his career, Chin-Lung Lee has worked with several companies, including Cywee Group Limited and CM HK Limited. His experience in these organizations has contributed to his expertise in motion recognition technologies and sensor fusion methods.

Collaborations

Chin-Lung Lee has collaborated with notable coworkers such as Zhou Ye and Shun-Nan Liou. Their combined efforts have further advanced the field of motion recognition and sensor technology.

Conclusion

Chin-Lung Lee's innovative work in motion recognition technology has made a significant impact on the development of electronic devices. His patents reflect a commitment to enhancing user experience through advanced sensor fusion methods.

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