Company Filing History:
Years Active: 2021-2025
Title: Allen Chen - Innovator in Exercise Recommendation Systems
Introduction
Allen Chen is a notable inventor based in San Francisco, CA. He has made significant contributions to the field of exercise recommendation systems, holding a total of 3 patents. His innovative work focuses on enhancing user experience in fitness through personalized workout plans.
Latest Patents
One of Allen's latest patents is titled "Predicting exercises based on user-selected variance." This exercise recommendation system determines workout plans tailored to users by analyzing their profiles, which include exercise history, available gym equipment, and fitness goals. The system utilizes a machine learning model to rank exercises based on the user's selected level of variance, ensuring that the workout plans are both effective and engaging.
Another significant patent is "Determining a user's current exercise capability." This system assesses a user's current capability by analyzing their exercise history and calculating a moving average capability. By partitioning the exercise history into various time periods, the system can provide a more accurate representation of the user's current fitness level, which is crucial for creating effective workout plans.
Career Highlights
Allen has worked with prominent companies such as Fitbod, Inc. and Twitter, Inc. His experience in these organizations has allowed him to refine his skills and contribute to the development of innovative fitness solutions.
Collaborations
Throughout his career, Allen has collaborated with talented individuals, including Jess Venticinque and Rohit Jain. These partnerships have fostered a creative environment that has led to the development of cutting-edge technologies in the fitness industry.
Conclusion
Allen Chen is a pioneering inventor whose work in exercise recommendation systems is shaping the future of fitness technology. His patents reflect a deep understanding of user needs and a commitment to enhancing the exercise experience.