Startup Showcase: BlinkLab – Revolutionizing Neurobehavioral Testing with AI and Facial Recognition

BlinkLab's smartphone application enables remote neurobehavioral testing to help diagnose and monitor neurological disorders such as autism and attention deficit hyperactive disorder.

In a world where technology is advancing at an unprecedented rate, it’s not surprising that a new app has emerged to help diagnose and monitor neurological disorders using advanced facial recognition and AI techniques. BlinkLab, a Princeton-based startup, has created an app that turns an ordinary mobile phone into a device for conducting objective neurobehavioral tests, making it easier and more cost-effective to diagnose and monitor neurological disorders.

Revolutionizing Neurobehavioral Testing

The BlinkLab smartphone application is a game-changer in the field of neurobehavioral testing. Until now, these tests required dedicated hardware in a permanent lab environment with substantial face-to-face interaction between researcher and participant. The new app is user-friendly, especially for infants and autistic patients, as no face attachments are needed.

With BlinkLab, anyone can perform neurobehavioral tests by themselves at home following the user-friendly instructions provided by the app. Experiments can be programmed by healthcare professionals or researchers and selected from a list on the smartphone by the user. Data acquired with BlinkLab can be securely shared with healthcare professionals or researchers.

Advanced Facial Recognition and AI Techniques

During a typical evaluation, the user will watch an entertaining movie or play a simple video game on the smartphone while the smartphone delivers short auditory and visual stimuli in specific patterns. A test takes about 10-20 minutes. Using state-of-the-art computer vision algorithms, BlinkLab measures the motor and emotional responses of the user to these stimuli. For most experiments, the main focus will be on eye movements and eye blinks.

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BlinkLab provides a behavioral readout using machine-vision algorithms, which can be used to characterize specific movements at video frames. This means that healthcare professionals and researchers can monitor and diagnose neurological disorders such as autism, schizophrenia, and attention deficit hyperactive disorder more effectively and efficiently.

Research Applications

The BlinkLab smartphone application is not only useful for healthcare professionals but can also be used in neuroscience and psychology research to study fundamental mechanisms underlying learning and memory formation. The app’s advanced facial recognition and AI techniques can provide valuable insights into how the brain functions and responds to different stimuli.

Conclusion

In conclusion, BlinkLab is a revolutionary smartphone application that enables remote neurobehavioral testing to help diagnose and monitor neurological disorders such as autism and attention deficit hyperactive disorder. Using advanced facial recognition and AI techniques, the app is user-friendly and cost-effective, making it accessible to anyone with a smartphone. BlinkLab is not only useful for healthcare professionals but can also be used in neuroscience and psychology research. With its ability to securely share data and provide valuable insights into brain function, BlinkLab is set to revolutionize the field of neurobehavioral testing.

Website: https://www.blinklab.org/

Twitter: https://twitter.com/blink_lab

LinkedIn: https://www.linkedin.com/company/blinklab-neuro-behavioral-testing


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