Kenmore, WA, United States of America

Lilian H Liang

USPTO Granted Patents = 3 

 

Average Co-Inventor Count = 10.0

ph-index = 1

Forward Citations = 17(Granted Patents)


Company Filing History:


Years Active: 2022-2024

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3 patents (USPTO):Explore Patents

Title: Innovator Spotlight: Lilian H Liang – Pioneering Gesture Recognition Technologies

Introduction: Lilian H Liang, a prominent inventor based in Kenmore, WA, is making remarkable contributions to the field of machine learning and gesture recognition. With a total of three patents to her name, Liang is at the forefront of integrating advanced technology into everyday devices, focusing on user interaction and experience.

Latest Patents: One of Liang's latest patents revolves around "Machine-learning based gesture recognition using multiple sensors." This innovative device features a processor that receives outputs from two different types of sensors. By integrating these sensor outputs into a machine learning model, the device can accurately predict user gestures and subsequently execute predetermined actions. This technology aims to enhance interaction with devices by allowing for more intuitive control through gesture recognition, marking a significant advancement in user-interface technology.

Career Highlights: Currently employed at Apple Inc., Liang plays a vital role in their research and development efforts. Her expertise in machine learning and gesture recognition not only contributes to the company's portfolio but also propels the industry towards more seamless and intelligent user experiences.

Collaborations: Throughout her career, Liang has collaborated with notable peers such as Charles Maalouf and Shawn R Scully. These collaborations foster an environment of innovation, allowing her to refine her technologies and enhance the applicability of her inventions in real-world scenarios.

Conclusion: Lilian H Liang's innovative spirit and dedication to developing cutting-edge gesture recognition technologies illustrate her significant impact in the tech industry. Her ability to combine machine learning with intuitive user interaction paves the way for future advancements, showcasing the potential of her inventions in shaping the way humans interact with technology.

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