Fall City, WA, United States of America

Patrick Dean Kennedy


Average Co-Inventor Count = 8.0

ph-index = 1

Forward Citations = 9(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Patrick Dean Kennedy - Innovator in Fall Detection Technology

Introduction

Patrick Dean Kennedy is a notable inventor based in Fall City, Washington, with a keen focus on developing innovative solutions in the realm of machine learning. He is the creator of a unique patent that addresses a critical issue—fall detection. His contributions in this field demonstrate the intersection of technology and practical applications that can significantly enhance safety measures for individuals.

Latest Patents

Patrick holds an impressive patent titled "Systems and methods for training a personalized machine learning model for fall detection." This invention encompasses systems and methods designed to train a personalized machine learning (ML) model to effectively detect fall events. The innovative processes involve obtaining sensor data related to a user's activities. The technology intelligently differentiates between fall events and other activities, ensuring that the personalized ML model provides accurate and responsive support.

Career Highlights

Kennedy's work is not only defined by his inventions but also by his role at Tidyware, LLC, where he applies his expertise in machine learning to develop impactful safety solutions. His patent reflects a commitment to creating technology that can potentially save lives by automating fall detection, an essential feature for elderly care and various rehabilitation contexts.

Collaborations

Throughout his career, Patrick has collaborated with notable coworkers Philip F. Carmichael and Brian Hayward. Together, they contribute to the innovative atmosphere at Tidyware, LLC, pushing the boundaries of what can be achieved with machine learning technologies and their application in real-world scenarios.

Conclusion

Patrick Dean Kennedy exemplifies innovation in the technology sector, particularly in developing practical solutions for fall detection. His patent represents significant progress in utilizing machine learning for safety enhancements. As he continues to work with Tidyware, LLC and his team, the potential for further advancements in this field remains promising, paving the way for safer environments for all individuals.

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