@inproceedings{0b0d52c9392c4ab8b6112af07dcc8322,
title = "Smart Prediction System for Facial Paralysis",
abstract = "Paralysis is the loss of muscle functions in any part of the body at any age and can be temporary or permanent. Many times, temporary paralysis can be treated by physical therapy without using high potency drugs. In this paper, a smart and innovative system is proposed and developed to help bell's palsy patients with temporary facial paralysis, by automating the physiotherapy at the comfort of patients' home using a 3D printed design. The proposed prototype performs the facial physiotherapy, as prescribed by the physiotherapist using a smartphone application. Furthermore, a smart app is also proposed and presented in this paper to perform intelligent face mapping, data-logging and progression functions for the patients to visualize improvements in their health conditions.",
keywords = "Android Java, Assistive technology, Facial Paralysis, Mobile Application, Neural Network, Physiotherapy, Rehabilitation",
author = "Ridha, \{Ali Mohammed\} and Wessam Shehieb and Peter Yacoub and Khalid Al-Balawneh and Kamran Arshad",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 7th International Conference on Electrical and Electronics Engineering, ICEEE 2020 ; Conference date: 14-04-2020 Through 16-04-2020",
year = "2020",
month = apr,
doi = "10.1109/ICEEE49618.2020.9102600",
language = "English",
series = "2020 7th International Conference on Electrical and Electronics Engineering, ICEEE 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "321--327",
booktitle = "2020 7th International Conference on Electrical and Electronics Engineering, ICEEE 2020",
address = "United States",
}