Tainan County, Taiwan

Jui-Tang Lin


Average Co-Inventor Count = 4.2

ph-index = 1


Company Filing History:


Years Active: 2010-2011

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2 patents (USPTO):Explore Patents

Title: Innovations of Jui-Tang Lin

Introduction

Jui-Tang Lin is a notable inventor based in Tainan County, Taiwan. He has made significant contributions to the fields of voice recognition and pupil position acquisition. With a total of 2 patents, his work showcases innovative methods that enhance technology's ability to understand human interaction.

Latest Patents

One of his latest patents is titled "Method of constructing model of recognizing English pronunciation variation." This method aims to recognize English pronunciations that vary due to different intonations influenced by non-English native languages. The process involves collecting sound information corresponding to English expressions and mapping them to International Phonetic Alphabets (IPAs). This results in the formation of pronunciation variation models that improve the accuracy of voice recognition systems.

Another significant patent is the "Pupil position acquisition system, method therefor, and device containing computer software." This system includes various modules such as a shooting module, scanning module, signal transformation module, and signal analysis module. It captures an eyeball image and analyzes it to determine the position of the pupil, enhancing the capabilities of devices that rely on eye-tracking technology.

Career Highlights

Jui-Tang Lin is affiliated with the Institute for Information Industry, where he continues to develop innovative solutions in information technology. His work has been instrumental in advancing the understanding of human speech and eye movement, which are critical for various applications in technology.

Collaborations

He has collaborated with notable colleagues, including Chin-Shun Hsu and Chia-Te Chu, who contribute to the research and development efforts at the Institute for Information Industry.

Conclusion

Jui-Tang Lin's contributions to the fields of voice recognition and pupil position acquisition demonstrate his commitment to innovation. His patents reflect a deep understanding of technology and its application in enhancing human-computer interaction.

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