This inventor holds 1 USPTO granted patent. Top assignee: Industrial Technology Research Institute. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2026
Title: Innovations of Jung-Tzu Liu in Context-Aware Classification
Introduction
Jung-Tzu Liu is a notable inventor based in Hsinchu City, Taiwan. He has made significant contributions to the field of technology, particularly in the area of physiological signal data classification. His innovative work has led to the development of a unique patent that enhances the understanding and processing of physiological data.
Latest Patents
Jung-Tzu Liu holds a patent for a "Computer-implemented method, electronic device, and non-transitory computer-readable storage medium for context-aware classification of physiological signal data." This invention involves a sophisticated method where a data string is obtained and processed through a series of deep neural networks. The first deep neural network generates a first feature map, while multi-dimensional data is created from the data string and processed through a second deep neural network to produce a second feature map. These feature maps are then fused into a specific feature vector, which is utilized by a machine learning model to output an identification result corresponding to the original data string.
Career Highlights
Jung-Tzu Liu is affiliated with the Industrial Technology Research Institute, where he applies his expertise in technology and innovation. His work at this esteemed institution has allowed him to explore and develop advanced methodologies in data classification and machine learning.
Collaborations
Some of his notable coworkers include Ting Yuan Wang and Ya-Wen Lee, who contribute to the collaborative environment that fosters innovation and research at the Industrial Technology Research Institute.
Conclusion
Jung-Tzu Liu's contributions to the field of context-aware classification of physiological signal data exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in the processing of physiological data, showcasing his role as a leading inventor in this domain.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
