Health Assessment via Eye Movement Biometrics

Description:

This technology encompasses various methods and systems for assessing brain injuries and conditions like autism and fatigue by measuring and analyzing eye movements. By determining specific values from the eye movement data, such as feature vectors or behavioral scores, the system can assess whether an individual has suffered from brain injuries, including mild traumatic brain injuries (mTBI), or detect conditions such as autism and fatigue. These assessments are facilitated through the use of eye-tracking devices and sophisticated analysis algorithms.

Key Advantages:

• Non-invasive and user-friendly approach to diagnosing critical conditions.
• Real-time assessment capabilities for immediate analysis and diagnosis.
• High sensitivity in detecting subtle variations in eye movement that correlate with various conditions.
• Utilizes a single data-capturing device, making it efficient and cost-effective.

Problems Solved:

• Difficulties in early and accurate detection of mild traumatic brain injuries (mTBI).
• Challenges in diagnosing conditions like autism and fatigue without invasive procedures.
• Lack of real-time, sensitive, and non-invasive diagnostic tools in the healthcare industry.

Market Applications:

• Healthcare diagnostics for hospitals and clinics to improve patient care.
• Research tools for studying neurological conditions and brain injuries.
• Wearable technology for continuous health monitoring and condition detection.
• Assistive technologies for individuals with autism, providing real-time behavioral assessment.