An intelligent sensing system tor healthcare applications using real-time EMG and gaze fusion
| Author | Al-Mansoori, Aisha |
| Author | Al-Harami, Alkhzami |
| Author | AlMesallam, Rawda |
| Author | Qidwai, Uvais |
| Author | Amira, Abbes |
| Available date | 2024-05-07T05:39:57Z |
| Publication Date | 2015 |
| Publication Name | IntelliSys 2015 - Proceedings of 2015 SAI Intelligent Systems Conference |
| Resource | Scopus |
| Identifier | http://dx.doi.org/10.1109/IntelliSys.2015.7361185 |
| Abstract | This paper propose and discuss a solution of an intelligent visualization/sensing system for people who suffer from spinal muscular atrophy (SMA) which is a disorder that gradually makes the person paralyzed. The solution includes an electromyography (EMG) system, gaze system, and data fusion algorithm. Moreover, a robot is used that acts as an avatar on one side and a Virtual Reality (VR) technology is used on the patient's side. The evaluation and results of the developed system are shown at the end of the paper. The processing and decision making of the system takes 2.1 seconds. In addition, the accuracy of the EMG and gaze systems is almost 100%. |
| Language | en |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Subject | EMG Peak detection Gaze Pattern Matching SMA |
| Type | Conference Paper |
| Pagination | 491-498 |
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Computer Science & Engineering [2402 items ]