Tracks gaze with sub-millimeter accuracy using infrared sensors and advanced algorithms.
Provides instant metrics on focus and cognitive load based on gaze patterns and pupil dilation.
Allows users to design and implement tailored tests for specific research or diagnostic needs.
Offers comprehensive tools for analyzing eye-tracking data and generating detailed reports.
Provides APIs for connecting Braingaze data with third-party applications and systems.
Supports data collection from subjects in different locations using web-based or mobile interfaces.
Uses eye-tracking to assess attention deficits in clinical settings, providing objective data for diagnosis and treatment evaluation.
Monitors gaze patterns in vehicles to detect fatigue or distraction, enhancing road safety through real-time alerts.
Analyzes how users interact with websites or apps to optimize design and improve engagement based on visual attention.
Measures viewer attention to ads or products, helping marketers refine content and placement for better impact.
Tracks student focus during lessons or e-learning to identify engagement levels and tailor instructional methods.
Supports studies on cognitive processes, visual perception, and neurological disorders using precise gaze data.
Evaluates player engagement and immersion in games or media to enhance user experience and content development.
Monitors worker attention in hazardous environments to prevent accidents and improve task efficiency.
Assesses athlete focus and visual strategies during training or competition to optimize performance.
Uses eye-tracking biomarkers to screen for conditions like anxiety or depression in non-invasive ways.
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