Nadir Weibel

Title: Nadir Weibel and Pose-Based Identification of Weakness

Introduction

Nadir Weibel is an inventor associated with the University of California in San Diego, California. His patent work applies video analysis and machine learning to assess potential weakness in bodily joints.

Latest Patents

Weibel is named on 1 patent, titled “Pose-Based Identification of Weakness.” The invention describes a method, system, and computer program product for detecting or determining whether one or more bodily joints may be weak. It processes video recordings, extracts features corresponding to bodily joints, and uses those features to train models that identify weakness. The trained model can then analyze a new recording and determine whether weakness is present in the subject’s joints.

Career Highlights

Weibel’s patent reflects an intersection of computer vision, machine learning, and health-related assessment. By using video-based features to evaluate bodily movement, the approach offers a way to support the identification of joint weakness.

Collaborations

The patent lists Vishwajith Ramesh and Gert Cauwenberghs among Weibel’s coworkers, reflecting a collaborative research environment connected with the University of California.

Conclusion

Nadir Weibel’s patented work explores how video and trained models can help identify weakness in bodily joints, highlighting the potential of computational methods in health assessment.