인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
This study comparatively evaluated the signal quality of wireless dry electrode and wired wet electrode electroencephalography (EEG) systems with active electrodes in real road driving environments, focusing on artifact occurrence and low frequency noise. In contrast to many existing studies conducted under laboratory or relatively mild motion conditions, this study used an electric vehicle to examine four distinct driving scenarios: inside and outside the vehicle before driving, regular driving, and dynamic driving. Through these scenarios, we assessed the performance of each EEG system under stronger vehicle vibrations and movements. The experimental results show that the wireless dry electrode EEG system offers convenience and high mobility, making it potentially suitable for real time on-the-move applications. However, it is more sensitive to artifacts and low frequency noise, particularly during dynamic driving, where signal quality is notably affected. In contrast, the wired wet electrode EEG system with active electrodes demonstrates superior signal stability and artifact removal capability, maintaining reliable data even amid significant vehicle vibrations. Despite its excellent signal quality, its more complex wearability and limited mobility make it less practical for real time use. The findings suggest that dry EEG systems are better suited for static conditions, whereas wet EEG systems with active electrodes are more appropriate for dynamic conditions, such as engine sound evaluation, NVH assessment, ride quality analysis, occupant emotion and sleep monitoring, and motion sickness studies.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-25-02-093123579