Background The majority of patients with Parkinson's disease (PD) have handwriting
abnormalities. Micrographia (abnormally small letter size) is the most commonly reported …

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 …

Interpreting and tracking finger motion in free space is of use in the development of control
interfaces for augmented and virtual reality systems. One approach to create human …

Hand movement classification based on surface electromyography (sEMG) pattern
recognition is a promising approach for upper limb neuroprosthetic control. However …

Pattern recognition of electromyography (EMG) signals can potentially improve the
performance of myoelectric control for upper limb prostheses with respect to current clinical …

The role of the hand is crucial for the performance of activities of daily living, thereby
ensuring a full and autonomous life. Its motion is controlled by a complex musculoskeletal …

Recent studies have highlighted the possibility of using surface electromyographic (EMG)
signals to develop human–computer interfaces that are also able to recognize complex …

Despite hand gesture recognition is a widely investigated field, the design of myoelectric
architectures for detecting finer motor task, like the handwriting, is less studied. However …

Learning disabilities, which primarily interfere with basic learning skills such as reading,
writing, and math, are known to affect around 10% of children in the world. The poor motor …

Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …