Binyamina, Israel

Lior Barak

This inventor holds 6 USPTO granted patents and 1 published patent application and 2 EPO patents. Top assignees: Elbit Systems Ltd., Magic Leap, Inc.. Active years: 2017-2024.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Lior Barak. Retrieved from https://idiyas.com/inventor/lior-barak

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

Calculating rank
USPTO Granted Patents = 6 

% Patents Active = 100.0

 

Average Co-Inventor Count = 2.4

ph-index = 2

Forward Citations = 45(Granted Patents)


Location History:

  • Haifa, IL (2018 - 2021)
  • Binyamina, IL (2017 - 2023)

Company Filing History:


Years Active: 2017-2024

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6 patents (USPTO):Explore Patents

Title: Lior Barak: Innovator in Augmented Reality and Neural Networks

Introduction

Lior Barak is a prominent inventor based in Binyamina, Israel. He has made significant contributions to the fields of augmented reality and neural networks, holding a total of 6 patents. His innovative work focuses on enhancing user experiences through advanced technology.

Latest Patents

One of Lior Barak's latest patents is a model registration system and method. This system is designed for registering a coordinate system associated with a model of an object that includes at least one marker. The system comprises a portable unit, a tracking system, and a processor. The portable unit features a display and an optical detection assembly for acquiring representations of the marker. The tracking system monitors the position and orientation of the portable unit in the reference coordinate system. The processor determines position-related information regarding the marker and registers the model with the reference coordinate system based on this information. It also displays registration-related information on the display, enhancing the interaction between the user and the model.

Another notable patent is the deep predictor recurrent neural network for head pose prediction. This system utilizes a recurrent neural network (RNN) that processes a time series of head pose data to output a predicted head pose. The RNN can include long short-term memory (LSTM) units or gated recurrent units (GRUs). A fully connected layer accepts input from the RNN and outputs a 3 degree-of-freedom (DOF) or a 6 DOF head pose. This technology is particularly beneficial for rendering engines in augmented or virtual reality devices, as it reduces system latency and improves user experience.

Career Highlights

Lior Barak has worked with notable companies such as Elbit Systems Ltd. and Magic Leap, Inc. His experience in these organizations has allowed him to develop and refine his innovative ideas in technology and engineering.

Collaborations

Throughout his career, Lior has collaborated with talented individuals, including Rani Ben-Yishai and Guy Rosenthal. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Lior Barak is a distinguished inventor whose work in augmented reality and neural networks has made a significant impact on technology. His patents reflect his commitment to innovation and improving user experiences in digital environments.

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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