This project aims to create Matlab app to process the images of feet and classify them into flat, regular, or high arch categories. Footprint measurement techniques are an initial step toward further developing the clinical relationship between the structural and functional characteristics of the foot. The shoe companies also use such attributes in their low-volume, high-precision production lines to cater to broader customer needs. For example, Hoka offers shoes that are specially made for flat feet. Features like the Arch (Clarke) Angle, Chippaux-Smirak index, Archlength index, and Truncated arch index were calculated for classification.
This project aims to develop an app for estimating knee angle (flexion and extension) with various statistical analyses and graphical visualization. Raw data, especially when obtained from sensors or measurement devices, can contain irregularities or minor errors that may not accurately represent the underlying biomechanical processes. This app allows users to analyze different walking conditions for many subjects with multiple steps. The visualization window will enable users to compare raw and after-smoothing data for every walking condition and every subject's every step.
Boccia is a popular Paralympic game initially designed for people with cerebral palsy. It is a game that two or more teams can play. All teams throw an equal number of balls toward a designated ball called the “Jack.” The team that has a ball nearest to Jack wins. The purpose of this app is to simulate the game of Boccia played by two teams. Users may input data by clicking on a designated panel or loading a file saved from this app. Different saving options are given to the user. The user may select a particular ball and see its distance from the Jack. Several options are provided to visualize the game data. This app lets the user determine a set's winner by measuring the balls' minimum distance from Jack.