Human lower limb activity recognition (HLLAR) has grown in popularity over the last decade
mainly because to its applications in the identification and control of neuromuscular …

Diagnosis of mobility disorder has become increasingly important in recent years. This
paper investigates the feasibility of classifying six hand activities including two crucially …

Recognizing complicated motions of the mouth and neck, including eating, coughing,
breathing, etc, is vital for health monitoring and disease diagnosis. This study provides two …

Early fault diagnosis is imperative for the proper functioning of rotating machines. It can
reduce economic losses in the industry due to unexpected failures. Existing fault analysis …

Besides the real-time data acquired from intracranial electroencephalogram iEEG, an
algorithm that identifies key features is necessary for automated diagnoses of related …

The most commonly used electrical rotary machines in the field are induction machines. In
this paper, we propose an antenna based approach for the classification of motor faults in …

In magnetic flux leakage (MFL) detection of wire ropes (WRs), strand noise cannot be
avoided, which seriously interferes with extracting local damage feature peaks. This article …

Wireless body-centric communication technology has experienced substantial growth in the
wearable device industry, owing to the growing demand for remote health monitoring …

The integration of Human Activity Recognition (HAR) within automated residences and
surveillance systems has significantly elevated the significance of this field for advanced …

This article proposes a novel method for detecting human mouth-neck activities using the
nearfield effect of a single antenna used as the noninvasive sensor capable of capturing …