Bielefeld, Germany

Barbara Hammer

This inventor holds 1 USPTO granted patent. Top assignee: Honda Motor Co., Ltd.. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Barbara Hammer. Retrieved from https://idiyas.com/inventor/barbara-hammer-r01gjw6x

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

Calculating rank

Average Co-Inventor Count = 1.0


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Barbara Hammer: Inventor in Human Movement Analysis.

Introduction

Barbara Hammer is an inventor associated with Bielefeld, Germany. Her patent work concerns computational methods for learning models of human movement from sensor data.

Latest Patents

The supplied information lists one patent for Barbara Hammer: “Computer-Implemented Method for Learning Movement Model, Non-Transitory Computer-Readable Storage Medium and Human Movement Analyzing System.” The method processes time-series movement measurements from one or more sensors, divides the data into segments corresponding to movement steps, and clusters those segments using computed distances. It then learns a topology-preserving feature representation, aligns and averages segments to create prototype segments, and updates a movement model by comparing cluster counts across successive analyses. This approach is intended to support the analysis and modeling of human movement. The listed patent count is 1 patent.

Career Highlights

The provided information associates Hammer with Honda Motor Co., Ltd. Her listed invention combines sensor-based movement measurement, data clustering, and model generation in a human movement analyzing system.

Collaborations

Michael Gienger and Martina Hasenjäger are identified as Hammer’s coworkers. The supplied details do not specify their roles in the patent or the nature of their collaboration.

Conclusion

Barbara Hammer’s listed patent focuses on learning and updating human movement models from sensor data, reflecting an application of computational techniques to movement analysis.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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