San Francisco, CA, United States of America

Salvatore Candido

This inventor holds 1 USPTO granted patent and 1 published patent application and 1 EPO patent. Top assignee: Meta Platforms Technologies, LLC. Active years: 2026.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Salvatore Candido. Retrieved from https://idiyas.com/inventor/salvatore-candido

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

Calculating rank
USPTO Granted Patents = 1 

% Patents Active = 100.0

 

Average Co-Inventor Count = 12.0

ph-index = 1


Company Filing History:


Years Active: 2026

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1 patent (USPTO):Explore Patents

Title: Salvatore Candido: Wearable Handwriting Input Innovation

Introduction

Salvatore Candido is an inventor based in San Francisco, California. His work includes a patent for using wearable-device sensors and a co-adapted input-detection model to help users enter target inputs through handwriting motions.

Latest Patents

Candido is associated with 1 patent: “Methods for Identifying Devolved Sequences of Handwriting Motions for Generating Target Inputs Using a Co-Adapted Input-Detection Model, and Devices and Systems Therefor.”

The patent describes a method that uses sensor data from a wearable device to assess a user’s attempt to perform handwriting motions linked to target inputs. Based on the data and the intended inputs, the system identifies a different, simplified sequence with fewer motions and presents it to the user as a suggested way to enter the target input.

Career Highlights

Candido’s listed company affiliations include Meta Platforms Technologies, LLC, and Meta Platforms, Inc. His patent reflects work on wearable computing and adaptive handwriting-based input.

Collaborations

Candido’s listed coworkers include Adam Berenzweig and Laurentius Johannes Paulus Van Der Maaten.

Conclusion

Salvatore Candido’s patent focuses on making handwriting input more accessible and efficient by using wearable sensors to suggest simpler motion sequences.

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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