We’ve trained this technology to look for specific eye movement patterns and determine whether the user is reading, performing cognitive tasks, watching videos, or playing video games. We envision it being implemented to monitor device use, namely in parental control apps, and time-tracking / organizer apps.
Uses a device camera to track eye movement. Works on over 90% of all Android and iOS devices
Patent-pending combination of deep learning and automatic pattern detection
Uses neural networks, optimized for mobile devices
One of the most energy efficient eye-tracking solutions for mobile
Implemented to verify reading activity and track reading time
Combined with emotion recognition determines user’s attitude to certain types of workload
Interface adapts automatically to user activity and behavior
Analyze work and non-work related workloads to generate employee efficiency reports