The research in human activity recognition has gained prominence in various applications,
including healthcare, medical, and surveillance. The earlier popular techniques which relied …

Forecasts about the aging trend of the world population agree on identifying increased life
expectancy as a serious risk factor for the financial sustainability of social healthcare …

Objective. Atrial fibrillation (AF) is a prevalent cardiac arrhythmia associated with significant
health ramifications, including an elevated susceptibility to ischemic stroke, heart disease …

The increasing demands of a cognitive task require additional brain resources. This
demand, known as mental workload, can lead to deteriorated task performance. Therefore …

Human activity recognition helps identify the activity of a person based on data provided by
sensors. The wireless wearable sensors provide robust techniques for data collection and …

Accurate detection of systolic peaks in photoplethysmogram (PPG) signals using simple
algorithms is crucial for many healthcare monitoring systems, especially in wearable …

Abstract Recently, visible/near-infrared (Vis/NIR) spectroscopy has been used in the
agricultural field, especially in the food industry, for monitoring food quality, postharvest …

Exercise is an indispensable part of people's lives and is closely related to their health.
Human Activity Recognition (HAR), which involves detects and analyzes human body …

Multimodal signal processing is a technique by which signals from different physical
domains are processed together in order to aid or improve the detection or measurement of …

Human activity recognition enables identifying the particular activity of an individual by
analyzing sensor data. Wearable sensors are often utilized in this method to gather and …