Hong Kong, China

Kevin Ki Wai Ho


Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Innovator Kevin Ki Wai Ho: Advancing Knee Joint Prediction Technology

Introduction

Kevin Ki Wai Ho, an innovative thinker based in Hong Kong, is making strides in the field of biomechanics. With a focus on predictive technology, he has developed a unique system aimed at improving our understanding of knee joint loading through advanced sensor data analysis.

Latest Patents

Kevin holds a patent for a "Predictive Knee Joint Loading System." This advanced system encompasses methods and software applications that predict the knee adduction moment (KAM) for various gait cycles of individuals. The invention utilizes sensors that can be affixed adjacent to the ankle, which collect accelerometer and gyroscopic data across multiple gait cycles. A sophisticated processing unit then interprets this data alongside subject-specific parameters using a neural network to forecast KAM values, ultimately customizing predictions for individual kinetic patterns during movement.

Career Highlights

Kevin Ki Wai Ho is affiliated with The Hong Kong Polytechnic University, where his work merges the realms of engineering and medicine. His research aims not just to advance academic knowledge but also to provide practical applications that can lead to improved patient outcomes in areas such as rehabilitation and sports science.

Collaborations

In his endeavors, Kevin collaborates with esteemed colleagues such as Tsz Hei Cheung and Ho Man Chan. Together, they explore groundbreaking approaches to biomechanics and sensor technology, contributing to the academic and practical advancements in understanding human movement and joint health.

Conclusion

Kevin Ki Wai Ho exemplifies the spirit of innovation through his contributions to biomechanical engineering. His work on the predictive knee joint loading system not only showcases his inventiveness but also holds the potential to transform how we assess and address knee joint health in various fields, including sports and rehabilitation.

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