Development of a DataGlove for Gesture Recognition based on Inertial Measurement Units

This thesis aims to deep analyse the application of Inertial Measurement Units (IMUs) for gesture recognition purposes, aiming to develop a Data-Glove for people with communication diseases as non verbal autistic child and people with aphasia. The specic eld of application is gesture recognition. This research was conducted in collaboration with LiMiX with the nal objective of create a device which can translate gestures in voice. The main idea was to build a wearable device able to give to the nal user capabilities to rapidly customize his how dictionary of gestures and translate his signs in voice in real time. Dierent techniques for gesture translations has been adopted.