September 3, 2025 — Leads & Copy — VelocityEHS, a global leader in EHS solutions, announced the publication of “Vision-Based Computing Pipeline for Recognizing Hand Grip-Types During Tool Handling” in IISE Transactions on Occupational Ergonomics & Human Factors (July 31, 2025). The paper demonstrates a single-camera based system that classifies six common grip types using standard RGB video, accurately measures grip usage, and integrates with the VelocityEHS Accelerate® Platform.
Authored by Dr. Francis Baek (Georgia Tech), Daeho Kim (VelocityEHS & Univ. of Toronto), Dr. Julia Penfield (VP, Research & ML, VelocityEHS), Rick Barker (Sr. Director, Solution Strategy, VelocityEHS) and Dr. SangHyun Lee (VelocityEHS & Univ. of Michigan), the system automates hand posture tracking, speeds up risk assessments, and identifies troublesome grips before injuries occur.
Dr. Julia Penfield, VP, Research & ML, stated that VelocityEHS is pushing the state of the art of using AI for worker safety and health in real-world applications. Matt Airhart, CEO of VelocityEHS, added that the research underscores the company’s commitment to providing efficient, human-centered intelligence that helps companies reduce risk and keep people safe.
This publication follows five AI/ML studies released by VelocityEHS experts earlier this year.
Jennifer Sinkwitts, Media Contact, jsinkwitts@ehs.com
Source: VelocityEHS
