Yun-Jie Jhang

Title: Innovations of Yun-Jie Jhang in Gesture Recognition Technology

Introduction

Yun-Jie Jhang is a prominent inventor based in Taoyuan, Taiwan. He has made significant contributions to the field of gesture recognition technology, holding a total of four patents. His work focuses on developing systems and methods that enhance the interaction between users and smart devices through gesture recognition.

Latest Patents

Among his latest patents is a gesture recognition system and gesture recognition method. This system executes a gesture recognition method that includes several steps: receiving a sensing signal, selecting one of the sensing frames from the signal, and generating a sensing map by applying 2D FFT to the selected frame. The system then selects a cell with the largest amplitude in the sensing map, calculates its velocity, and labels the selected frame as valid or invalid based on a threshold value. Valid sensing frames are used as input data for a neural network, enabling gesture recognition and event classification. Another patent involves a gesture recognition method that also includes receiving a training signal, generating a sensing map, and determining frame amplitudes, phases, and ranges for classification by a neural network. This innovative approach reduces computational complexity, allowing for efficient gesture recognition without impacting the normal operation of smart devices.

Career Highlights

Yun-Jie Jhang is currently employed at Kaikutek Inc., where he continues to develop cutting-edge technologies in gesture recognition. His work has positioned him as a key figure in the advancement of user interface technologies.

Collaborations

He collaborates with notable colleagues, including Tsung-Ming Tai and Wen-Jyi Hwang, who contribute to the innovative projects at Kaikutek Inc. Their combined expertise enhances the development of effective gesture recognition systems.

Conclusion

Yun-Jie Jhang's contributions to gesture recognition technology demonstrate his commitment to innovation and excellence. His patents reflect a deep understanding of user interaction with technology, paving the way for more intuitive smart devices.