A Hybrid BCI based on SSVEP and Gaze Direction Recognition: Towards a Speller for Patients with Amyotrophic Lateral Sclerosis - Department of Complex Systems, Artificial Intelligence  & Robotics Access content directly
Conference Poster Year : 2024

A Hybrid BCI based on SSVEP and Gaze Direction Recognition: Towards a Speller for Patients with Amyotrophic Lateral Sclerosis

Abstract

Amyotrophic lateral sclerosis (ALS) is an incurable neurodegenerative disease involving motor neurons. One of the most disabling symptoms is difficulty in communicating due to dysarthria and progressive loss of movement. To tackle this issue, we are designing an affordable solution suitable for patients. Approach: a hybrid BCI that exploits SSVEP and eye-tracking through the laptop's webcam could help ALS sufferers communicate effectively in their day-to-day life.
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Dates and versions

hal-04630176 , version 1 (01-07-2024)

Identifiers

  • HAL Id : hal-04630176 , version 1

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Pierre-Baptiste Mathieu de Carvalho, Lorraine Charles, Elena Parsy, Lorraine Raquel Lindquist, Laurent Bougrain. A Hybrid BCI based on SSVEP and Gaze Direction Recognition: Towards a Speller for Patients with Amyotrophic Lateral Sclerosis. CORTICO 2024, May 2024, Nancy, France. ⟨hal-04630176⟩
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