Wearable sensing devices, which are smart electronic devices that can be worn on the body
as implants or accessories, have attracted much research interest in recent years. They are …

Recent advances in smart devices have sustained them as a better alternative for the design
of human-machine interaction (HMI), because they are equipped with accelerometer sensor …

The most popular systems for automatic sign language recognition are based on vision.
They are user-friendly, but very sensitive to changes in regard to recording conditions. This …

In this paper, we present an accelerometer-based pen-type sensing device and a user-
independent hand gesture recognition algorithm. Users can hold the device to perform hand …

The possibility for humans to interact with physical or virtual systems using gestures has
been vastly explored by researchers and designers in the last 20 years to provide new and …

This paper proposes a robust sensor fusion algorithm to accurately track the spatial location
and motion of a human under various dynamic activities, such as walking, running, and …

Sign language has been used by deaf communities for over three centuries. It serves as a
platform for messaging and communicating. New sign languages are emerging in deaf …

Cerebral palsy is one of the main factors leading to children's disability. A large number of
such children have hand motor dysfunction, such as limited range of motion, abnormal …

The purpose of activity recognition is to identify activities through a series of observations of
the experimenter's behavior and the environmental conditions. In this study, through feature …

The development of self-powered smart biosensors has attracted great attention due to their
potential applications in human motion monitoring and energy collection systems. Here, a …