Eye Tracking-Based Communication Assistor for ALS
Agfa Chris, Gayathri Suresh, Joshua S George, Ms. Sajni Nirmal
ALS, eye-tracking, communication, assistive technology
Amyotrophic lateral sclerosis (ALS) is a neurological disease that progressively affects the nerves that control voluntary movement in humans. It is the most common motor neuron disease seen in adults, with around 2 in 100,000 developing ALS yearly. This life-threatening disease results in the loss of muscle movements in affected patients. As a result, patients eventually lose basic capabilities like eating, speaking, walking and so on. Even after decades of medical advancements, there still exists no cure for this disease. In recent times, Assistive Technology (AT) has proved to be an effective way to improve the lives of people affected by ALS, and help them carry out their day-to-day tasks with ease. These include mobility-enhancing and speech-generating devices, but most existing technologies are cumbersome for the patient to use, and require extensive training on their part. In this work, we propose to develop an eye-based communication system that can resolve the speech difficulties faced by patients. The system records and processes the eye movements of the user, which are then translated into corresponding phrases for communication. By the application of image processing algorithms, the system can be used by ALS patients to carry out day-to-day conversations with their near and dear with minimal training and effort.
Article Details
Unique Paper ID: 154243

Publication Volume & Issue: Volume 8, Issue 7

Page(s): 115 - 120
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