Reutlingen, Germany

Victor Pankratius

This inventor holds 1 USPTO granted patent. Top assignee: Robert Bosch. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Victor Pankratius. Retrieved from https://idiyas.com/inventor/victor-pankratius-bm9e4hx0

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: Victor Pankratius and EEG-Based Eye Tracking

Introduction

Victor Pankratius is an inventor associated with Reutlingen, Germany, and Robert Bosch. His patent work includes a method for estimating eye position or gestures from EEG signals, with potential applications in controlling wearable devices.

Latest Patents

Pankratius is associated with 1 patent: “Method and Device for Carrying Out Eye Tracking.” The invention records EEG signals over time using a contact electrode and processes signal data from successive time windows. A data-based eye-movement model then estimates eye position or gestures. The model uses a neural network that may include recurrent layers, such as LSTM or GRU layers, or a transformer layer, alongside one or more neuron layers.

Career Highlights

The available information identifies Pankratius as working with Robert Bosch and documents his contribution to an invention combining EEG sensing and neural-network processing for eye tracking. The disclosed approach is intended, in particular, to support control of functions in an application system such as a wearable.

Collaborations

Daniela Zoeller-Borst is identified as Pankratius’s coworker. The provided information does not specify her role in the patent or the invention.

Conclusion

Victor Pankratius’s documented patent work focuses on using EEG signals and neural networks to determine eye position or gestures, offering a potential input method for wearable systems.

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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