Characterization of the Hand Grasping Using Sensor Fusion
This master`s thesis explores the possibility of constructing a device capable of classifying human arm movements while performing a set of common tasks. Intended for use on patients undergoing rehabilitation, the device collects data using multiple sensors and applies a convolutional neural network in order to detect different activities of daily living. The sensors used by the device are limited