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Computer Vision for Remote Rehab by Jeremy Angelo Dizon Carreon is a document available to read on EtoBox.

The article presents a computer vision-based architecture designed for remote physical rehabilitation, allowing healthcare professionals to monitor and prescribe exercises for patients through a web-based application. The system utilizes gesture recognition to assess and provide feedback on exercise execution, aiming to enhance accessibility and usability for both patients and professionals. A qualitative evaluation indicated positive user reception, with high ratings for ease of use and accuracy in capturi

Author
Jeremy Angelo Dizon Carreon
Language
EN