脑电图
计算机科学
钥匙(锁)
焦虑
接口(物质)
大脑活动与冥想
认知
脑-机接口
人机交互
心理学
计算机安全
神经科学
精神科
最大气泡压力法
气泡
并行计算
作者
Youssef Ahmed,John Gaber,Hossam A. Gabbar,Jing Ren
标识
DOI:10.1109/icccmla56841.2022.9989163
摘要
Electroencephalography (EEG) is used to evaluate and diagnose several brain disorders. An EEG system measures and records fluctuations in brain activity and can display substantial neuron activity that correlates with human activities such as mental fatigue, depression, anxiety, stress, and even cognitive load. This research proposes an integrated EEG-assisted performance monitoring system, as a solution for drivers and high-efficiency driving. The measure of changes in brain waves allows us to assess complexities faced by operators and motorists in order to achieve their respective objectives at the highest level of efficiency. With mental fatigue and cognitive load being the two core features recorded by the EEG, the system is able to assess and analyse the raw EEG data through the user interface and provide key performance indicators in vehicle operators. Once the analysis of key performance indicators has been made and able to map the human brain signals which will be translated into human behavior assessment. Furthermore, the system integrated the results and found the limits of human capabilities, prior to any accident or reaching critical conditions.
科研通智能强力驱动
Strongly Powered by AbleSci AI