In the context of telemedicine and telerehabilitation, activity recognition plays a crucial role, especially in camera-based systems. For example, in Parkinson’s disease, many camera-based systems for automatic hand motor impairment assessment and rehabilitation, require an initial step of gesture recognition. In addition, the privacy of these systems is crucial and traditional RGB videos can be associated with significant privacy issues, especially during data transmissions. A new paradigm of cameras, such as event cameras, are promising solutions for anonymous gesture recognition. Event cameras are neuromorphic devices inspired by the human retina, acquiring only the information deemed useful, with a high temporal resolution (in the order of microseconds), low consumption and a high dynamic range.