Tech-Care: A High-Tech Eye-Controlled Wheelchair for Paralyzed Patients. Marie, H. S., Al-Sabahi, M. A., El-Sayed, A. A., Zaki, A. M., Salah, O. M., Al-Sadani, M. E., Abdo, A. M., & Moawad, M. E. In 2023 International Telecommunications Conference (ITC-Egypt), pages 413–418, July, 2023. ![Tech-Care: A High-Tech Eye-Controlled Wheelchair for Paralyzed Patients [link]](https://bibbase.org/img/filetypes/link.svg "link")
Paper doi abstract bibtex Quadriplegia is a devastating condition that can have a profound impact on an individual's quality of life. It is a result of spinal cord injury that affects all four limbs, severely limiting mobility and independence. However, with the rapid advancement in technology, there is hope for people with quadriplegia to regain some degree of independence.This paper proposes a revolutionary eye-controlled wheelchair that can provide independent mobility for people with disabilities. The system utilizes cutting-edge face landmark recognition technology to track eye movements and control the motorized movement of the wheelchair. The Python Dlib library was used to locate facial landmarks using a group of regression trees using Kazemi and Sullivan's face alignment in one millisecond. In this approach, face and eye recognition are accomplished using facial landmarks. It also features an ultrasonic sensor that can detect obstacles and prevent accidents. The whole system is controlled by Raspberry Pi, which is cost-effective and user-friendly.The proposed technology is a game-changer for people with disabilities. It eliminates the need for physical support and allows for greater independence and freedom of movement. With its advanced eye-tracking technology and reliable safety features, this eye-controlled wheelchair represents a significant breakthrough in the field of assistive technology. The proposed system is not just a technological innovation but a source of hope and empowerment for people with quadriplegia.
@inproceedings{marie_tech-care_2023,
title = {Tech-{Care}: {A} {High}-{Tech} {Eye}-{Controlled} {Wheelchair} for {Paralyzed} {Patients}},
shorttitle = {Tech-{Care}},
url = {https://ieeexplore.ieee.org/document/10206404},
doi = {10.1109/ITC-Egypt58155.2023.10206404},
abstract = {Quadriplegia is a devastating condition that can have a profound impact on an individual's quality of life. It is a result of spinal cord injury that affects all four limbs, severely limiting mobility and independence. However, with the rapid advancement in technology, there is hope for people with quadriplegia to regain some degree of independence.This paper proposes a revolutionary eye-controlled wheelchair that can provide independent mobility for people with disabilities. The system utilizes cutting-edge face landmark recognition technology to track eye movements and control the motorized movement of the wheelchair. The Python Dlib library was used to locate facial landmarks using a group of regression trees using Kazemi and Sullivan's face alignment in one millisecond. In this approach, face and eye recognition are accomplished using facial landmarks. It also features an ultrasonic sensor that can detect obstacles and prevent accidents. The whole system is controlled by Raspberry Pi, which is cost-effective and user-friendly.The proposed technology is a game-changer for people with disabilities. It eliminates the need for physical support and allows for greater independence and freedom of movement. With its advanced eye-tracking technology and reliable safety features, this eye-controlled wheelchair represents a significant breakthrough in the field of assistive technology. The proposed system is not just a technological innovation but a source of hope and empowerment for people with quadriplegia.},
urldate = {2023-12-02},
booktitle = {2023 {International} {Telecommunications} {Conference} ({ITC}-{Egypt})},
author = {Marie, Hanaa Salem and Al-Sabahi, Mohammed Alaa and El-Sayed, Ahmed Awad and Zaki, Ahmed Mohamed and Salah, Omar Mahmoud and Al-Sadani, Mahmoud Elsayed and Abdo, Abdallah Mohammed and Moawad, Muhammad Eyad},
month = jul,
year = {2023},
pages = {413--418},
}
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