AI Article Synopsis
- A new assessment method classifies and categorizes facial paralysis severity using the House-Brackmann system, leveraging facial motion data tracked by Optical Flow and the Kanade-Lucas-Tomasi technique.
- Video recordings from normal subjects and Bell's Palsy patients were analyzed to extract key facial landmarks.
- A motion analysis-based scoring system was developed, utilizing area measurements to create individual scores for facial exercises, showing potential to enhance rehabilitation for affected patients.
Article Abstract
An initial assessment method that can classify as well as categorize the severity of paralysis into one of six levels according to the House-Brackmann (HB) system based on facial landmarks motion using an Optical Flow (OF) algorithm is proposed. The desired landmarks were obtained from the video recordings of 5 normal and 3 Bell's Palsy subjects and tracked using the Kanade-Lucas-Tomasi (KLT) method. A new scoring system based on the motion analysis using area measurement is proposed. This scoring system uses the individual scores from the facial exercises and grades the paralysis based on the HB system. The proposed method has obtained promising results and may play a pivotal role towards improved rehabilitation programs for patients.
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| http://dx.doi.org/10.3233/THC-151103 | DOI Listing |
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