Abstract:
A wheelchair is a revolutionary assistive mobility aid that improves the flexibility and standard of life for those with mobility limitations. There are many guidance sys...Show MoreMetadata
First Page of the Article

Abstract:
A wheelchair is a revolutionary assistive mobility aid that improves the flexibility and standard of life for those with mobility limitations. There are many guidance systems for impaired people to navigate against obstacles and other dangers that are confronted rapidly and safely. With the developments of modern techniques, there are many distinct kinds of devices available to help with mobility. The key objective of the proposed study is to create a technologically intelligent wheelchair that can recognize voice, gesture, facial, lane, and gaze in a natural setting for individuals who have mobility impairments. In this paper, an automatic wheelchair based on lane detection is shown, which is made in real-time using hardware through the use of deep learning algorithms and image manipulation. The device also promotes overall well-being with health-tracking capabilities. It also offers communication support for those unable to speak. Empower Wheel Chair redefines accessibility, providing users with newfound freedom, convenience, and connection in their daily lives.
Date of Conference: 05-07 March 2024
Date Added to IEEE Xplore: 17 April 2024
ISBN Information:
First Page of the Article

Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Lane Detection ,
- Limited Mobility ,
- Impaired Mobility ,
- Living Standards ,
- Eye Movements ,
- Head Movements ,
- Speech Recognition ,
- Edge Detection ,
- Gaze Direction ,
- Obstacle Avoidance ,
- Hand Gestures ,
- Speaker Recognition ,
- Hand Motion ,
- Gesture Recognition ,
- Hough Transform ,
- Voice Recognition ,
- Computer Vision Algorithms ,
- User Movement ,
- User Safety ,
- Virtual Assistant ,
- Gaze Control ,
- Hand Gesture Recognition ,
- Users Face ,
- Gaze Points ,
- Bounding Box ,
- User Feedback ,
- Field Of View ,
- Computer Vision ,
- Advances In Computer Vision ,
- Landmark Detection
- Author Keywords
Keywords assist with retrieval of results and provide a means to discovering other relevant content. Learn more.
- IEEE Keywords
- Index Terms
- Lane Detection ,
- Limited Mobility ,
- Impaired Mobility ,
- Living Standards ,
- Eye Movements ,
- Head Movements ,
- Speech Recognition ,
- Edge Detection ,
- Gaze Direction ,
- Obstacle Avoidance ,
- Hand Gestures ,
- Speaker Recognition ,
- Hand Motion ,
- Gesture Recognition ,
- Hough Transform ,
- Voice Recognition ,
- Computer Vision Algorithms ,
- User Movement ,
- User Safety ,
- Virtual Assistant ,
- Gaze Control ,
- Hand Gesture Recognition ,
- Users Face ,
- Gaze Points ,
- Bounding Box ,
- User Feedback ,
- Field Of View ,
- Computer Vision ,
- Advances In Computer Vision ,
- Landmark Detection
- Author Keywords