Individuals with brachial plexus injuries face a range of physical challenges that can significantly impact their daily lives, including difficulty with fine motor skills, limited range of motion, and impaired use of one or both arms. As a result, it can be challenging or impossible for them to use traditional computer interfaces with keyboards or mouses.

 

Gaze I/O is a hand-free application that helps users control the cursor through eye movement. By using cascade classifiers and morphological tools, the convolutional neural network is able to recognize the face, the eye region, and the pupils with 73% accuracy.

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With Gaze I/O, physically-challenged users can interact with their devices effortlessly, empowering them to regain independence and connection with others and the digital world.