Sunnyvale, CA, United States of America

Tomer Daniel Moscovich

This inventor holds 65 USPTO granted patents and 10 published patent applications and 3 EPO patents, primarily in Touch Sensor Technology (CPC class G06F). Top assignees: Sensel, Inc., Amazon Technologies, Inc., Cirque Corporation. Active years: 2014-2026.

USPTO Granted Patents = 65 

% Patents Active = 87.7

 

Average Co-Inventor Count = 4.0

ph-index = 13

Forward Citations = 946(Granted Patents)

Forward Citations (Not Self Cited) = 834(Dec 10, 2025)


Inventors with similar research interests:


Location History:

  • Seattle, WA (US) (2019)
  • Mountain View, CA (US) (2019 - 2022)
  • San Francisco, CA (US) (2014 - 2024)
  • Sunnyvale, CA (US) (2022 - 2024)

Company Filing History:


Years Active: 2014-2026

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Areas of Expertise:
Touch Sensor
Gesture Recognition
Haptic Feedback
Force Sensing
Human-Computer Interface
Variable Impedance
Calibration
Input Detection
Automotive Sensors
Tactile Sensors
Touch Tracking
65 patents (USPTO):Explore Patents

Title: Tomer Daniel Moscovich: Innovator in Touch Technology

Introduction

Tomer Daniel Moscovich, a prolific inventor based in Sunnyvale, CA, has made significant contributions to the field of touch technology, with an impressive portfolio of 59 patents. His innovative work primarily revolves around touch sensor systems that enhance user interaction with handheld devices.

Latest Patents

Among his latest patents is a groundbreaking invention titled "Method and apparatus for variable impedance touch sensor array force aware interaction with handheld display devices." This invention involves touch-sensor detector systems that leverage an interpolated variable impedance touch sensor array. The method allows for force-aware interaction by determining pressure inputs at a device's sensor panel and correlating these inputs to flexing gestures. It provides a seamless way for users to interact with UI elements based on the detected gestures and relative pressure.

Another notable patent is "System and method for detecting and characterizing touch inputs at a human-computer interface." This involves a method that employs a force-sensitive layer to detect inputs on a touch sensor surface, integrating both alternating-current and direct-current components of the sensor signal. This dual approach enhances the reliability of touch detection, accommodating a wide variety of user interactions.

Career Highlights

Tomer has played integral roles in esteemed companies, including Sensel, Inc. and Amazon Technologies, Inc. His work in these organizations has solidified his reputation as an expert in developing advanced touch technologies that push the boundaries of user experience.

Collaborations

Throughout his career, Tomer has collaborated with notable colleagues, including Ilya Daniel Rosenberg and John Aaron Zarraga. These partnerships have fostered the exchange of innovative ideas and the advancement of new technologies in the field of touch interfaces.

Conclusion

Tomer Daniel Moscovich continues to be a driving force in the realm of touch technology innovation. His extensive patent portfolio showcases his ability to blend ingenuity with practical application, advancing how users interact with their devices. His contributions not only reflect his dedication to innovation but also highlight the significant advancements in user interface technologies that enhance daily interactions.

Profile summary based on public USPTO records.
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