Jonathan Jakob

Title: Jonathan Jakob and Human Movement Analysis

Introduction

Jonathan Jakob is an inventor based in Bielefeld, Germany. His patent work concerns computational methods for learning models of human movement from sensor data.

Latest Patents

Jakob is associated with 1 patent: “Computer-Implemented Method for Learning Movement Model, Non-Transitory Computer-Readable Storage Medium and Human Movement Analyzing System.”

The invention describes a method that collects multidimensional movement measurements from at least one sensor and divides the resulting time series into segments, each representing one movement step. It clusters the segments by calculating distances, learns a two-dimensional topology-preserving representation, and groups the resulting feature vectors. The method then aligns and averages segments within each cluster to create prototype segments. Finally, it generates and stores a movement model by comparing the number of clusters in the current analysis with the number recorded in an earlier analysis.

Career Highlights

The supplied information associates Jakob with Honda Motor Co., Ltd. His patent reflects work at the intersection of sensor data processing, machine learning, and human movement analysis.

Collaborations

Jakob’s listed coworkers include Michael Gienger and Martina Hasenjäger.

Conclusion

Jonathan Jakob’s patent describes a structured approach to learning and updating human movement models from sensor measurements, highlighting his contribution to movement-analysis technology.