New Taipei City, Taiwan

Chia Hung Wu

This inventor holds 1 USPTO granted patent. Top assignee: Syncvision Technology Corp.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Chia Hung Wu. Retrieved from https://idiyas.com/inventor/chia-hung-wu-9gprsf9r

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Chia Hung Wu: Inventor in Physiological Data and Location Mapping

Introduction

Chia Hung Wu is an inventor based in New Taipei City, Taiwan. His work includes a patent on collecting and presenting physiological signal data in association with location information. He is affiliated with Syncvision Technology Corp. and holds 1 patent.

Latest Patents

Wu’s patent, “Methods for Collecting and Presenting Physiological Signal Data and Location Information, and Servers and Systems Implementing the Same,” describes a system for linking physiological data to a selected location on a representation of the human body. The method receives physiological signal data and user input identifying a location on a body diagram, then maps that selection to location information and stores it with the data. When requested, a second interface lets users select the corresponding location and view the associated physiological signal data.

Career Highlights

Wu’s patented work focuses on organizing physiological information so that it can be accessed through an intuitive, location-based interface. The disclosed approach combines data collection, location mapping, storage, and interactive presentation.

Collaborations

Wu is associated with Syncvision Technology Corp. His listed coworkers include Kuan Hsien Chen and Chung Han Liu.

Conclusion

Chia Hung Wu’s patent presents a location-based approach to storing and displaying physiological signal data, connecting body-diagram selections with relevant information.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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