Location History:
- Taichung, TW (2019)
- New Taipei, TW (2020)
Company Filing History:
Years Active: 2019-2025
Title: Tsung-Ming Tai: Innovator in Gesture Recognition Technology
Introduction
Tsung-Ming Tai is a prominent inventor based in New Taipei, Taiwan. He has made significant contributions to the field of gesture recognition technology, holding a total of six patents. His innovative work focuses on improving the accuracy and efficiency of gesture recognition systems.
Latest Patents
One of his latest patents is a "Temporal sequence alignment method for gesture training data." This method involves several steps, including receiving gesture training data and gesture sample data. The training data consists of multiple training frames and soft labels, while the sample data includes sample frames and soft labels. The process compresses both training and sample frames to generate aligned training data, which helps minimize time discrepancies in gesture recognition.
Another notable patent is the "Gesture recognition system and gesture recognition method thereof." This system executes a method that includes receiving a sensing signal and selecting a sensing frame. It generates a sensing map using 2D FFT and identifies the cell with the largest amplitude. The system calculates the velocity of this cell and labels the sensing frame as valid or invalid based on a threshold. Valid sensing frames are then used as input data for the neural network to perform gesture recognition and event classification.
Career Highlights
Tsung-Ming Tai has worked with notable companies such as Kaikutek Inc. and the Institute for Information Industry. His experience in these organizations has contributed to his expertise in developing advanced gesture recognition technologies.
Collaborations
Some of his coworkers include Wen-Jyi Hwang and Chun-Hsuan Kuo. Their collaboration has likely played a role in the development of innovative solutions in the field of gesture recognition.
Conclusion
Tsung-Ming Tai is a key figure in the advancement of gesture recognition technology, with multiple patents that enhance the functionality and accuracy of gesture recognition systems. His contributions continue to influence the industry and pave the way for future innovations.
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