Abstract
In the field of physiotherapy, the recognition of the poses of the human body is obtaining more research so that the patient has an accelerated recovery rate in his rehabilitation. Nowadays, it is not so challenging to have devices like Microsoft Kinect that allow us to interact with the user for the recognition of poses and body gestures. The objective of this work to capture the data of the joints of a person's body through a set of angles using the Kinect device, then artificial neural networks with the Back-Propagation algorithm were used for machine learning, and their precision was determined. The results found on the performance of the neural network show that 99.70% accuracy was achieved in the classification of the patients' postures, which can be used as an alternative in the rehabilitation therapies of patients with knee injuries.
Highlights
The most common injuries in a person's early stage are bruises and fractures, not to mention that they can present pain from different anatomical structures, such as osteochondritis of the knee (Osgood Schlatter disease) [1]
Knee injuries, which are the most common disabling injuries in athletic and physically active individuals, can be treated with the use of knee braces and bandaging techniques that are widely used to reduce and / or prevent the severity and incidence of injuries of knee as well as the use of kinesiotaping to improve muscle strength and jump performance in the knee [3]. This is one of the main problems that patients can get bored from repeated rehabilitation activities or cannot properly perform the exercises
Choubik and Mahmoudi show other clustering-based learning techniques such as Support Vector Machines (SVM) or k-nearest neighbors (KNN), in the case of SVM, accuracies of up to 100% were obtained using a linear kernel function, while with KNN accuracies were obtained of 100%, SVM showed higher precision rates as the amount of data increased more
Summary
The most common injuries in a person's early stage are bruises and fractures, not to mention that they can present pain from different anatomical structures, such as osteochondritis of the knee (Osgood Schlatter disease) [1]. According to the National Institute of Statistics and Informatics (INEI), in Peru, 5.2% of the population (1 million 619 thousand people) have some type of disability, "88.6% of the population with a disability did not receive treatment or therapy for rehabilitation and only 11.4% if they received any treatment or therapy Among those who received treatment or rehabilitation therapy we can mention physical rehabilitation therapies (46.1%), psychological treatment (18.9%), psychiatric treatment (11.3%), speech therapy (11.0 %), emotional support (3.8%), occupational therapy (3.6%), another type (5.4%)". Knee injuries, which are the most common disabling injuries in athletic and physically active individuals, can be treated with the use of knee braces and bandaging techniques that are widely used to reduce and / or prevent the severity and incidence of injuries of knee as well as the use of kinesiotaping to improve muscle strength and jump performance in the knee [3] This is one of the main problems that patients can get bored from repeated rehabilitation activities or cannot properly perform the exercises. This can negatively influence patients to enable them to undergo rehabilitation
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