Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …

Nowadays, the emerging information technologies in smart handheld devices are motivating
the research community to make use of embedded sensors in such devices for healthcare …

Human activity recognition (HAR) is crucial to infer the activities of human beings, and to
provide support in various aspects such as monitoring, alerting, and security. Distinct …

Human activity recognition (HAR) is an emerging field that identifies human actions in
different settings. This activity is recognized by sensors placed in the room or residence …

Sign language recognition (SLR) is the task of recognizing human actions that represent the
language, which is not only helpful for deaf–mute people but also a means for human …

With their automatic feature extraction capabilities, deep learning models have become
more widespread in sensor-based human activity recognition, particularly on larger …

The Internet of Things (IoT) generates massive amounts of data everywhere through sensors
of every kind which are disseminated in a variety of objects. This data contains incredibly …

Human motion detection technology holds significant potential in medicine, health care, and
physical exercise. This study introduces a novel approach to human activity recognition …

Studies on real-time PM2. 5 concentrations per activity in microenvironments are gaining a
lot of attention due to their considerable impact on health. These studies usually assume that …

Over the past decade, recognition of human activities (HAR) has become a vibrant field of
research, in particular, the spread in our everyday lives of electronics such as mobile …