Recognizing Exercises from Physiotherapy Videos -Image Processing projects-Deep Learning -openCV

6,000.00

Recognizing Exercises from Physiotherapy Videos -Image Processing projects-Deep Learning -openCV

100 in stock

SKU: Recognizing Exercises from Physiotherapy Categories: ,

Description

Recognizing Exercises from Physiotherapy Videos -Image Processing projects-Deep Learning -openCV

Physical therapy (PT), also known as physiotherapy, is one of the associated health professions that aims at remediating impairments and promoting mobility and function by using mechanical force and movements, manual therapy, exercise therapy, and electro therapy. There are various approaches for the identification and classification of a physiotherapy exercise from videos. For recognize excercises from Physiotherapy Videos there are two process, 

Video  preprocessing : The raw data will consist of a number of joint positions for each frame. An exercise sample (positive or negative) contains many such frames. However, due to differences in speed and execution, the samples do not have the same number of frames. The samples can be  re-sampled to a fixed length of N frames, where the value of N can be set experimentally.

Training and Testing: Once the values of the initial parameters are obtained from the preprocessing phase, supervised training is performed. Subsequently, testing is performed using the validation set to evaluate the performance of the classifier using different measures such as accuracy, joint data precision, angle data precision.
 
 

Additional information

Weight 1.000000 kg

Reviews

There are no reviews yet.

Be the first to review “Recognizing Exercises from Physiotherapy Videos -Image Processing projects-Deep Learning -openCV”

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.