Integrated Smart Helmet System for Motorcyclists Using EOG-Bases Control and Optional HUD Interface

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dc.contributor.advisorAlmusawi, Husam
dc.contributor.authorNehasa, Ahmed
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-12-12T15:50:55Z
dc.date.available2025-12-12T15:50:55Z
dc.date.created2025-12-01
dc.description.abstractThis project presents a smart helmet system designed to enhance rider safety. It uses EOG sensing and machine learning to analyze and distinguish eye-related electrical signals for user interface utilization and fatigue detection. An IMU-based crash detection module identifies real accidents, and the system is designed to automatically send emergency notifications with GPS data. Moreover, a custom PCB integrates all hardware into a compact design. The final prototype demonstrates a practical and reliable wearable safety solution.
dc.description.courseMechatronical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent68
dc.identifier.urihttps://hdl.handle.net/2437/399837
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectEOG
dc.subjectSmart Integrated System
dc.subjectHands-Free Control
dc.subjectCrash detection
dc.subjectSafety
dc.subjectFatigue Detection
dc.subjectMachine Learning
dc.subjectPCB
dc.subjectEmbedded System
dc.subject.dspaceEngineering Sciences
dc.titleIntegrated Smart Helmet System for Motorcyclists Using EOG-Bases Control and Optional HUD Interface
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