In a human-robot interface, the prediction of motion, which is based on context information of
a task, has the potential to improve the robustness and reliability of motion classification to …

Electromyographic (EMG) signal is a pulse of electric current produced by muscles during
an action. The EMG signal offers information on the brain activation and dynamics of …

In this study, we applied reinforcement learning to actual quadrotor unmanned aerial
vehicles (UAVs). It is expected that UAVs will contribute to multiple fields (eg, rescue, sports …

Assistive devices such as prosthetic and orthotic devices as well as micro robotic arm can
perform similar operation of a human arm when these are actuated by muscle power. The …

Electromyographic (EMG) signals are used to control electrically powered hand and arm
prostheses. In recent years the number of actuated joints in clinically available prostheses …

Since last decade, the diabetes risks are increasing in children and adults. Various
approaches have been proposed for early detection of the diabetes and prevention on it …

Implanted muscular electrodes offer a promising method for controlling Artificial Limbs (ALs)
and, when combined with an Osseointegrated Implant System (OIS), can significantly …

Stroke has become one of the most devastating health problems due to post-stroke
disabilities. Rehabilitation is the necessary process for stroke survivors following …

Muscle diseases occur in all age groups and can cause serious physical disability. The
effect of such diseases is severe when children and young adults are affected. The needs of …

An artificial neural network (ANN) provides a comprehensive and specialized service for the
diagnosis and care of muscle diseases. Medical consultations are offered at the …