Company Filing History:
Years Active: 2022
Title: Shing Fat Mak: Innovator in Motion Classification Technology
Introduction
Shing Fat Mak is a notable inventor based in Hong Kong, CN. He has made significant contributions to the field of motion classification technology. His innovative approach focuses on the analysis of repetitive movements, which has applications in various domains, including fitness and rehabilitation.
Latest Patents
Shing Fat Mak holds a patent for "Repetition counting and classification of movements systems and methods." This invention describes methods and systems for determining and classifying a number of repetitive motions in a video. The process begins with determining a plurality of images from a video, where the images are segmented from at least one video frame. It involves performing a pose detection process on features of the images to generate one or more landmarks. Subsequently, one or more principal component axes are determined on points associated with a given landmark. Finally, the system determines at least one repetitive motion based on a pattern associated with a projection of the points onto the principal components. The invention can classify repetitive motions into respective types and is designed for convenient use on mobile computing devices, such as smartphones, for tracking exercises and similar repetitive motions. He has 1 patent to his name.
Career Highlights
Shing Fat Mak is currently associated with Nex Team Inc., where he continues to develop innovative solutions in motion analysis. His work has garnered attention for its practical applications and potential to enhance user experience in tracking physical activities.
Collaborations
Shing Fat Mak has collaborated with notable colleagues, including On Loy Sung and Qi Zhang. Their combined expertise contributes to the advancement of technology in motion classification.
Conclusion
Shing Fat Mak is a pioneering inventor whose work in motion classification technology is shaping the future of exercise tracking and analysis. His innovative patent demonstrates the potential for significant advancements in how repetitive movements are understood and utilized.