bachelorThesis
Implementación de un prototipo de monitoreo de postura a nivel de cabeza, cuello, hombros y cintura escapular usando cámara de profundidad, caso de estudio de problemas músculo esqueléticos
Autor
Carvajal Arias, Karen Estefanía
Institución
Resumen
It is difficult for physiotherapists to know in depth the postural behavior of their patients. This is
important information to have a complete understanding of the patient's context and the risk
factors that contribute to the appearance of musculoskeletal disorders. In this context, we present
the development and testing of a real time prototype with skeleton tracking of postures adopted
by a person while sitting in front of a computer. The prototype uses a depth camera to obtain the
spatial coordinates of the body's joints. These points are used to calculate the angles that describe
the individual's posture. A data set of angles is built to train 3 classification methods RNN, RFC
and GBC. For all 3 classification methods, the accuracy rate exceeds 70% for the 5 postures
studied. The accuracy rate of the prototype used in a physiotherapy case study is not affected by
more than 10% compared to the results obtained under controlled conditions. In addition, the
results obtained in the study case assisted a specialist to develop a treatment plan.