Postural assessment by identifying parts using artificial intelligence

The human posture is defined by the balance of the muscular chains. This is important because throw this equilibrium a person can accomplish tasks, maintain activities with the optimal use of energy and prevent injuries. The permanent maintaining of poor posture leads to serious muscular and skeletal disorders. Many assessment methods have been created to identify imbalances and to correct postures that may lead to injury, but these methods have the disadvantage of relying on the subjectivity of the evaluator, their experience and not being able to identify minimal deviations. The objective of this research was to elaborate a tool capable of creating a new evaluation method through body scanning. To achieve the proposed objective, we collected images of previously defined healthy individuals in a common social environment with no history of injury. The results obtained with the research were: the creation of a computational tool with proven accuracy capable of identifying the pre-established joint points for postural evaluation.