For the Inventor, By the Inventor

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San Francisco, CA, United States of America

Hinge Health, Inc.

Calculating rank

USPTO Granted Patents = 30

EPO Patents = 7

Trademarks = 7

Forward Citations = 20

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36 inventors (with patents filed for the assignee):

Colin J Brown (19 out of 20 patents)

Paul Anthony Kruszewski (9 out of 11 patents)

Louis Harbour (6 out of 6 patents)

4. Andrey Tolstikhin (6 out of 7 patents)

5. Dongwook Cho (5 out of 6 patents)

6. Maggie Zhang (4 out of 5 patents)

7. Wenxin Zhang (4 out of 4 patents)

8. Sohail Zangenehpour (3 out of 4 patents)

9. Thomas D Peters (3 out of 4 patents)

10. Caroline Rougier (3 out of 3 patents)

11. Samuel Corbly House (3 out of 3 patents)

12. Johannes David Paul (3 out of 3 patents)

13. Alexander Izvorski (2 out of 11 patents)

14. David Lari (2 out of 10 patents)

15. Kevin McCullough (2 out of 2 patents)

Core Competencies:

Pose Parsers

Hand Pose Detection

Transcutaneous Electrical Nerve Stimulation

3D Mesh Generation

Neuromodulation Device

Activity Classification

Joint Rotation Inferences

Markerless Motion Capture

Monocular Depth Estimation

Human Pose Analysis

Computer Vision

30 patents: Sort by Forward Citations

1. 12784240 - Method and non-transitory medium for 3D skeletons (2026-11-03),

2. D1153753 - Transcutaneous electrical nerve stimulation device (2026-10-13),

3. 12718613 - Approaches to estimating hand pose with independent detection of hand presence in digital images of individuals performing physical activities and systems for implementing the same (2026-08-25),

4. 12718405 - Pose parsers (2026-08-25),

5. D1134877 - Transcutaneous electrical nerve stimulation get pad (2026-07-14),

6. 12675949 - Three-dimensional mesh generator based on two-dimensional image (2026-07-07),

7. D1131804 - Transcutaneous electrical nerve stimulation get pad (2026-06-23),

8. 12661506 - Neuromodulation device and method for use (2026-06-23),

9. 12597206 - Mechanical weight index maps for mesh rigging (2026-04-07),

10. 12573088 - Two-dimensional pose estimation based on bipartite matching of joint type heatmaps and joint person heatmaps (2026-03-10),

11. 12573087 - Object three-dimensional localizations in images or videos (2026-03-10),

12. 12567174 - Real-time pose estimation through bipartite matching of heatmaps of joints and persons and display of visualizations based on the same (2026-03-03),

13. 12518862 - Patient-centered musculoskeletal (MSK) care system and associated programs for therapies for different anatomical regions (2026-01-06),

14. 12511761 - Object identifications in images or videos (2025-12-30),

15. RE50537 - Method and system for activity classification (2025-08-19),

Company Overview

Hinge Health, Inc. is a leading digital health company based in San Francisco, specializing in musculoskeletal care. The organization develops innovative solutions that combine wearable technology, personalized exercise therapy, and behavioral health support to improve patient outcomes. By leveraging advanced data analytics and user-friendly platforms, Hinge Health aims to transform the way individuals manage chronic pain and enhance their overall mobility. Its focus on evidence-based practices positions it at the forefront of digital therapeutics in the healthcare sector.

Profile summary synthesized from public USPTO records and patent filings.

Company Badge

USPTO Data Jan 1 1976 - Nov 3 2026

30 Patents

#160 in San Francisco, CA

#2,688 in California

#11,291 in US

#21,929 in the World

San Francisco, CA, United States of America

Hinge Health, Inc.

Forward Citations = 20

36 inventors:

Colin J Brown (19 out of 20 patents)

Paul Anthony Kruszewski (9 out of 11 patents)

Louis Harbour (6 out of 6 patents)

4. Andrey Tolstikhin (6 out of 7 patents)

5. Dongwook Cho (5 out of 6 patents)

IDiyas Innovation Intelligence. (2026). Company Patent Portfolio: Hinge Health, Inc.. Retrieved from https://idiyas.com/company/hinge-health

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

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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