Human activity detection within smart homes is one of the basis of unobtrusive wellness
monitoring of a rapidly aging population in developed countries. Most works in this area use …

Automated methods of real-time, unobtrusive, human ambulation, activity, and wellness
monitoring and data analysis using various algorithmic techniques have been subjects of …

Security and safety is a big concern for today's modern world. For a country to be
economically strong, it must ensure a safe and secure environment for investors and tourists …

Human activity recognition (HAR) using smartphones provides significant healthcare
guidance for telemedicine and long-term treatment. Machine learning and deep learning …

Automated worker action recognition helps to understand the state of workers' actions,
enabling effective management of work performance in terms of productivity, safety, and …

Device-free sensing of human gestures has gained tremendous research attention with the
recent advancements in wireless technologies. Channel State Information (CSI), a metric of …

Approaches and algorithms for activity recognition have recently made substantial progress
due to advancements in pervasive and mobile computing, smart environments and ambient …

Deep learning (DL) models are very useful for human activity recognition (HAR); these
methods present better accuracy for HAR when compared to traditional, among other …

It is known that parameter selection for data sampling frequency and segmentation
techniques (including different methods and window sizes) has an impact on the …

This paper tackles a challenging problem of inertial sensor-based recognition for similar gait
action classes (such as walking on flat ground, up/down stairs, and up/down a slope). We …