Human activity recognition is a key to a lot of applications such as healthcare and smart
home. In this study, we provide a comprehensive survey on recent advances and challenges …

With the advent of the Internet of Everything, the proliferation of data has put a huge burden
on data centers and network bandwidth. To ease the pressure on data centers, edge …

" In air" gesture recognition using millimeter wave (mmWave) radar and its applications in
natural human-computer-interaction for smart home has shown its potential. However, the …

The proliferation of sensors powered by state-of-the-art machine learning techniques can
now infer context, recognize activities and enable interactions. A key component required to …

Gesture recognition using millimeter-wave radios facilitates natural human-computer
interactions, but existing works require a consistent environment, ie, the neural networks for …

With the rapid growth of the Internet of Things (IoT), smart systems and applications are
equipped with an increasing number of wearable sensors and mobile devices. These …

Human activity recognition (HAR) plays an irreplaceable role in various applications and
has been a prosperous research topic for years. Recent studies show significant progress in …

Human activity recognition (HAR) using wearable sensors has benefited much less from
recent advances in Deep Learning than fields such as computer vision and natural …

The use of audio and video modalities for Human Activity Recognition (HAR) is common,
given the richness of the data and the availability of pre-trained ML models using a large …

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 …