Implementación de un prototipo en la detección de movimiento del hombro mediante visión artificial.

Abstract

Abstract: Currently, Artificial Intelligence (AI) plays an important role in different areas of industry by improving performance wherever it is applied. One of the fields that has taken advantage of AI is medicine, specifically in the treatment of patients with different pathologies through rehabilitation systems. According to, shoulder pain is the third most common cause of medical consultation for musculoskeletal problems in adults, because the shoulder is the most mobile joint in the human body, although this depends on the activities and exposure to different types of machinery. If this pathology is not treated in a specialized manner, it can cause prolonged work incapacity. For this reason, the area of AI called Computer Vision (CV), based on the analysis of human movement, has been the subject of numerous investigations. According to, this research can be classified into posture estimation, human-object interaction, activity and gesture recognition, and human-human interaction. VC has enabled the development of different rehabilitation systems for problems such as tendonitis and shoulder joint injuries]. It is crucial that a specialist evaluates and supervises the shoulder rehabilitation process. Several exercises for shoulder rehabilitation will be presented to aid in the recovery process. A possible solution would be to create a web and mobile system that allows to evaluate the activity or exercise performed by the patient and store the information in the cloud so that it can be evaluated by the specialist.