In Asia, many individuals with disabilities rely on wheelchairs for mobility. However, some people, such as those who are fully disabled or paralyzed, cannot use traditional wheelchairs despite having fully functioning cognitive abilities. To address this issue, we propose the development of an electric wheelchair that can be controlled using EEG signals and eye blinks. The project utilizes a MindWave Mobile device and Arduino to enable seamless control. Additionally, various sensors are incorporated to enhance the system's reliability. An ultrasonic sensor helps avoid unexpected collisions, while a smoke sensor detects hazardous smoke levels, triggering an automatic alert via a short message to a designated person. Similarly, if the passenger falls from the wheelchair, a notification will also be sent. The wheelchair's movement is controlled via an Android application, with eye-blink detection serving as the primary input method for navigation. This innovative design offers a cost-effective solution, making it accessible for widespread use. By integrating these advanced features, the system can be implemented on motorized wheelchairs to better support individuals with disabilities and enhance their independence.

翻译：在亚洲，许多残障人士依赖轮椅进行移动。然而，部分人群，如完全丧失行动能力或瘫痪者，尽管认知功能完好，却无法使用传统轮椅。为解决这一问题，我们提出开发一种可利用脑电信号与眨眼动作控制的电动轮椅。该项目采用MindWave Mobile设备与Arduino实现无缝控制，并集成多种传感器以提升系统可靠性。超声波传感器用于避免意外碰撞，而烟雾传感器可检测危险烟雾浓度，一旦超标即通过短信向指定联系人自动发出警报。同样，若乘客从轮椅跌落，系统也将发送通知。轮椅运动通过Android应用程序控制，其中眨眼检测作为导航的主要输入方式。这一创新设计提供了经济高效的解决方案，有利于广泛普及。通过集成上述先进功能，该系统可应用于电动轮椅，从而更好地支持残障人士并提升其自主生活能力。