To measure biosignals constantly, using textile-integrated or even textile-based electrodes
and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes …

This paper presents a wearable electromyographic gesture recognition system based on the
hyperdimensional computing paradigm, running on a programmable parallel ultra-lowpower …

Autonomous rehabilitation training for assisted patients with injured upper-limbs promotes
the regenerative communication between muscle signals and brain consciousness. Surface …

An upper limb amputation is a traumatic event that can seriously affect the person's capacity
to perform regular tasks and can lead individuals to lose their confidence and autonomy …

Exoskeletons are widely used for both rehabilitative and assistive purposes. Controlling the
exoskeleton remains significant to perform the user-defined functions. This work presents …

Purpose Individuals with hand amputations often seek prosthetic devices that closely mimic
the function of natural limbs and interact with them as if they were a natural part of their …

Humans learn about the environment by interacting with it. With an increasing number of
robotic and prosthetic devices, there is a need for intuitive Muscle-Machine Interfaces …

This article presents a systematic study for the selection of classifiers for hand gesture
recognition by electromyography signals. The selection of a classifier can be determined …

Sinyal EMG merupakan salah satu sinyal yang dapat digunakan untuk memberikanÂ
perintah pada kursi roda listrik. Sinyal EMG yang digunakan diambil dari sinyal otot fleksor …

The first topic analyzed in the thesis will be Neural Architecture Search (NAS). I will focus on
two different tools that I developed, one to optimize the architecture of Temporal …