Human activity recognition (HAR) is a very active yet challenging and demanding area of
computer science. Due to the articulated nature of human motion, it is not trivial to detect …

Abstract Human Action Recognition (HAR) is a popular area of research in computer vision
due to its wide range of applications such as surveillance, health care, and gaming, etc …

Human action recognition (HAR) has gained significant attention recently as it can be
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …

Existing 3D skeleton-based action recognition approaches reach impressive performance
by encoding handcrafted action features to image format and decoding by CNNs. However …

To provide accessible, intelligent, and efficient remote access such as the internet of things,
rehabilitation, autonomous driving, virtual games, and healthcare, human action recognition …

Abstract Sign Language Recognition (SLR) systems aim to be embedded in video stream
platforms to recognize the sign performed in front of a camera. SLR research has taken …

Automatic detection of infant actions from home videos could aid medical and behavioral
specialists in the early detection of motor impairments in infancy. However, most computer …

With an increasing number of elders living alone, care-giving from a distance becomes a
compelling need, particularly for safety. Real-time monitoring and action recognition are …

Human activity classification is needed to support various fields. The health sector, for
example, requires the ability to monitor the activities of patients, the elderly, or people with …

ABSTRACT Human Action Recognition (HAR) in uncontrolled environments targets to
recognition of different actions from a video. An effective HAR model can be employed for an …