Advances in low density 3D surface reconstruction for gait analysis

Human gait analysis help doctors analyze, diagnose and document aberrant gaits with tools that compare the gait of patients before and after treatment to historical cases of normal and abnormal gaits. Among tools used for walking analysis, 3D scanners are some of the most useful because they can generate high fidelity reconstruction of patientpsilas movement, aiding the specialist in the diagnosis and follow up of the treatment process. This work presents the status of a research seeking to develop a low cost 3D surface scanner as a tool for human gait analysis. In order to reduce computer time processing, the scanner will be able to generate a low density point cloud using points of interest that are visually marked on the target before the scanning process starts.