Mountain View, CA, United States of America

Raffi A Bedikian

USPTO Granted Patents = 56 

 

Average Co-Inventor Count = 3.7

ph-index = 10

Forward Citations = 695(Granted Patents)

Forward Citations (Not Self Cited) = 642(Dec 10, 2025)


Location History:

  • San Francico, CA (US) (2018 - 2022)
  • Sunnyvale, CA (US) (2022)
  • San Francisco, CA (US) (2016 - 2024)
  • Mountain View, CA (US) (2021 - 2024)

Company Filing History:


Years Active: 2016-2025

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Areas of Expertise:
Gesture Recognition
Machine Learning
Free-Space User Interface
Eye Tracking
Virtual Interactions
Hand Pose Estimation
Event Cameras
Predictive Information
Dynamic User Interactions
Virtual Content Modification
Saliency Models
Optical Flow Techniques
56 patents (USPTO):Explore Patents

Title: Innovating the Future: The Impactful Career of Raffi A. Bedikian

Introduction

Raffi A. Bedikian is an influential inventor based in Mountain View, CA, known for his groundbreaking contributions in the field of machine learning and gesture recognition technologies. With an impressive portfolio of 50 patents, Bedikian's work demonstrates a commitment to advancing user interaction through innovative solutions.

Latest Patents

Among his notable inventions, two recent patents illustrate the depth of his expertise. The first patent focuses on "Machine learning based gesture recognition." This technology introduces two types of neural networks: 'master' networks, which are generalists trained on the comprehensive dataset of hand images, and 'expert' networks, which specialize in subsets of this data. This dual-network approach aims to predict hand poses with increased accuracy.

The second patent, titled "Dynamic, free-space user interactions for machine control," involves capturing sequential images of a user or control objects and analyzing them to recognize gestures. This technology enhances display controls by modifying content based on the user's dominant gestures, allowing for a more intuitive user experience.

Career Highlights

Raffi A. Bedikian has built a reputable career by working with prestigious companies, including Ultrahaptics IP Two Limited and Apple Inc. His involvement in these organizations has allowed him to push the boundaries of technology and user interaction, making significant strides in the field of gesture recognition and machine learning.

Collaborations

Throughout his career, Bedikian has collaborated with several talented individuals, including David S. Holz and Gabriel Archacki Hare. These partnerships have contributed to the innovative spirit that characterizes his work, leading to advancements that benefit a wide range of applications in technology.

Conclusion

With a robust portfolio of patents and a distinguished career in the tech industry, Raffi A. Bedikian exemplifies the spirit of innovation. His contributions to machine learning and gesture recognition technology not only redefine user interactions but also pave the way for future advancements in the field. As technology continues to evolve, inventors like Bedikian will remain at the forefront of innovation, shaping the way we interact with machines and the digital world.

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