Sensors are devices that quantify the physical aspects of the world around us. This ability is
important to gain knowledge about human activities. Human Activity recognition plays an …

Tracking body pose on-the-go could have powerful uses in fitness, mobile gaming, context-
aware virtual assistants, and rehabilitation. However, users are unlikely to buy and wear …

Vitamin D presents a plethora of different functions that go beyond its role in skeletal
homeostasis. It is an efficient endocrine regulator of the Renin–Angiotensin–Aldosterone …

Millimeter wave (mmWave) Doppler radar is a new and promising sensing approach for
human activity recognition, offering signal richness approaching that of microphones and …

Fitness tracking devices have risen in popularity in recent years, but limitations in terms of
their accuracy and failure to track many common exercises presents a need for improved …

The proliferation of sensors powered by state-of-the-art machine learning techniques can
now infer context, recognize activities and enable interactions. A key component required to …

Human activity recognition (HAR) plays an irreplaceable role in various applications and
has been a prosperous research topic for years. Recent studies show significant progress in …

The study of the human body motion throughout different activities is one of the most
challenging and long-standing problems in Computer Vision. With the recent advances in …

Acoustic activity recognition has emerged as a foundational element for imbuing devices
with context-driven capabilities, enabling richer, more assistive, and more accommodating …

Human movement tracking is useful in a variety of areas, such as search-and-rescue
activities. CCTV and IP cameras are popular as front-end sensors for tracking human …