In this work, we show that a late fusion approach to multimodality in sign language
recognition improves the overall ability of the model in comparison to the singular …

Microwave radars bring many benefits to mid-air gesture sensing due to their large field of
view and independence from environmental conditions, such as ambient light and …

The past decade has seen great advancements in speech recognition for control of
interactive devices, personal assistants, and computer interfaces. However, deaf and hard-of …

Radar-based dynamic hand gesture classification has been an active research field in
recent years. Deep learning methods using radar sensors are widely used to classify …

Hearing impaired people use sign language for communication, which relies on the
movement gestures of body parts and plays a vital role in human-computer interaction. Most …

In this paper, we study the classification of human activity on the surface of a body of water
using sonar. In particular, we investigate the classification of three different swimming styles; …

We develop a machine learning-based pedestrian detection and alert system that can
operate both during the day and at night using a visual camera, an infrared camera, and a …

One of the main challenges currently firefighters are facing in search and rescue operations
is battling the heavy smoke inside a space that needs to be searched for people and …

Edge computing is agreed to provide services on the network edge closer to the terminal,
including all technologies on the Internet of Things (IoT). Today, various terminals running …