Term 242

Cloud-Based Autonomous Electrical Wheelchair with Obstacle Avoidance, Fall Detection, Voice Feedback

Project Type: Self-Initiated

Project Description

Manual wheelchairs lack integrated sensor fusion from onboard vision and inertial sources, real-time obstacle detection, dynamic A*-based path planning, and remote monitoring capabilities. This deficiency forces mobility-impaired users to depend on caregivers for navigation in complex indoor environments, increasing collision risks and reducing autonomy.


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Project Team

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Kamel Ammar Alzainy
CIE
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Talal Khaled Alharbi
COE
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Basil Alaa Alashqar
COE
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Tamim Ahmed Alnahdi
EE
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Fahad Khalid Milibari
ME
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Awni Emad Shublak
ME

Team Coach

Dr. Uthman Baroudi
Dr. Uthman Baroudi
Associate Professor

Department of Computer Engineering

Interdisciplinary Research Center for Intelligent Secure Systems