Nowadays, Human Activity Recognition (HAR) is being widely used in a variety of domains,
and vision and sensor-based data enable cutting-edge technologies to detect, recognize …

Human action recognition (HAR), deeply rooted in computer vision, video surveillance,
automated observation, and human-computer interaction (HCI), enables precise …

With the widespread application of mobile edge computing (MEC), MEC is serving as a
bridge to narrow the gaps between medical staff and patients. Relatedly, MEC is also …

Device-free sensing of human gestures has gained tremendous research attention with the
recent advancements in wireless technologies. Channel State Information (CSI), a metric of …

The smartphone-based human activity recognition (HAR) provides abundant healthcare
guidance for telemedicine and clinic treatment. The continually increasing daily activities …

Still image-based human action recognition (HAR) is one of the most challenging research
problems in the field of computer vision. Some of the significant reasons to support this claim …

This study is proposed to review the sign language recognition system based on different
classifier techniques. Mostly the Neural Network and Deep Learning-based classifiers were …

Human pose estimation has gained significant attention from researchers of the present era.
Personal exercise sessions can be monitored and supervised with the help of pose …

Machine recognition of the human activities is an active research area in computer vision. In
previous study, either one or two types of modalities have been used to handle this task …

Abstract An efficient Sign Language Recognition (SLR) system could facilitate
communication with hearing impaired persons by identifying the sign gestures. Similar to …