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 …

Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …

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) has emerged as a significant area of research due to its
numerous possible applications, including ambient assisted living, healthcare, abnormal …

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 …

Anatomical movements of the human body can change the channel state information (CSI)
of wireless signals in an indoor environment. These changes in the CSI signals can be used …

Given the inadequacy of assessed outcomes (eg, final exam) and the importance of
evaluating the learning process in STEM education, we use deep learning to develop the …

Although human activity recognition (HAR) based on WiFi channel state information (CSI)
has been widely studied, as the CSI signal is susceptible to the external environment, a …

Gesture recognition is an essential part in the field of human–computer interaction (HCI) and
Internet of Things system. Compared with the existing technologies based on wearable …