Wearable devices have recently received considerable interest due to their great promise for
a plethora of applications. Increased research efforts are oriented towards a non-invasive …

Abstract Human Action Recognition (HAR) has remained one of the most challenging tasks
in computer vision. With the surge in data-driven methodologies, the depth modality has …

Intelligent systems are increasingly part of our everyday lives and have been integrated
seamlessly to the point where it is difficult to imagine a world without them. Physical …

Nowadays, wearable technology can enhance physical human life-log routines by shifting
goals from merely counting steps to tackling significant healthcare challenges. Such …

Action recognition based on skeleton key joints has gained popularity due to its cost
effectiveness and low complexity. Existing Convolutional Neural Network (CNN) based …

Recently, the recent advancement of deep learning with the capacity to perform automatic
high-level feature extraction has achieved promising performance for sensor-based human …

In this work, authors address workload computation combining human activity recognition
and heart rate measurements to establish a scalable framework for health at work and …

Recognizing activities of daily living (ADL) provides vital contextual information that
enhances the effectiveness of various mobile health and wellness applications …

Cardiomyopathy is a disease category that describes the diseases of the heart muscle. It can
infect all ages with different serious complications, such as heart failure and sudden cardiac …

Body language is a nonverbal communication process consisting of movements, postures,
gestures, and expressions of the body or body parts. Body language expresses human …