Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Sign language is used as a primary form of communication by many people who are Deaf,
deafened, hard of hearing, and non-verbal. Communication barriers exist for members of …

This paper presents a future-focused approach for robot programming based on augmented
trajectories. Using a mixed reality head-mounted display (Microsoft Hololens) and a 7-DOF …

The myoelectric interfaces are being used in rehabilitation technology, assistance and as an
input device. This review focuses on an insightful analysis of the data acquisition system of …

Myoelectric control, the use of electromyogram (EMG) signals generated during muscle
contractions to control a system or device, is a promising input, enabling always-available …

Surface electromyography (sEMG) is a non-invasive method of measuring neuromuscular
potentials generated when the brain instructs the body to perform both fine and coarse …

This study delves into decoding hand gestures using surface electromyography (EMG)
signals collected via a precision Myo-armband sensor, leveraging machine learning …

Electromyographic (EMG) signals sensed at the skin surface on the forearm can be used to
accurately infer wrist-hand poses. However this is only possible when the EMG sensors are …

In this paper, we propose a hand pose estimation approach from low cost surface
electromyogram (sEMG) signals using recurrent neural networks (RNN). We use the Leap …

Strokes, surgeries, or degenerative diseases can impair motor abilities and balance. Long-
term rehabilitation is often the only way to recover, as completely as possible, these lost …