Monitoring Drivers With Eye-Tracking Tech w/ Adam Gross | Reimagine Mobility

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Join us in this episode of the Reimagine Mobility Podcast as we dive into the fascinating world of eye-tracking technology with Adam Gross from HarmonEyes. Discover how advancements in AI and machine learning are revolutionizing driver monitoring systems, enhancing safety, and improving performance across various industries. Learn about the journey of HarmonEyes from eye-tracking sensors to predictive models that can foresee driver fatigue and cognitive overload. Don't miss out on this insightful conversation about the future of mobility and technology!
Adam Gross is an entrepreneur and a veteran of several start-ups in the software and services sector. Prior to RightEye and HarmonEyes, Adam co-founded a healthcare software services company. After an acquisition to a larger competitor in 2012, Adam met Dr. Melissa Hunfalvay during a tennis match and not long after they started RightEye and have recently expanded the business to include HarmonEyes. Adam and his wife reside in the Washington, DC area and is the proud father of 3 young adults.
RightEye is an eye-tracking company that delivers a medical device to healthcare providers such as eye care and neuro-rehabilitation, hospitals, elite sports and military. This year RightEye launched HarmonEyes, a software business that leverages eye-tracking and AI. As eye-tracking sensors become ubiquitous in vehicles, cockpits, XR headsets, monitors, phones and tablets, HarmonEyes delivers a number of solutions that identify and predict the state of a user, preventing problems and improving performance of many tasks. Examples include fatigue and cognitive load. Additionally, HarmonEyes helps make eye-tracking sensors interoperable by creating a standardized eye-tracking output across all devices.
www.harmoneyes.com
HarmonEyes adds value to the mobility market by enhancing existing driver monitoring systems (DMS), expanding on DMS capabilities and making expansion across devices seamless. Products include cognitive load, fatigue, situational awareness, etc. Driving demo link here: • HarmonEyes Driving Demo
00:03:02 Data Analytics and AI Models for Eye-Tracking
00:04:01 Challenges and Solutions in Eye-Tracking
00:04:45 HarmonEyes’ Automated Conversion Engine (A.C.E.)
00:06:33 Predicting Fatigue and Cognitive Load
00:08:52 Applications in Sports and Military
00:13:23 Screening for Health Issues with Eye-Tracking
00:16:15 Reimagining Mobility with Eye-Tracking Technology
00:20:27 Normalizing Eye-Tracking Data Across Populations
00:23:04 Enabling Technologies for Eye-Tracking