A machine can understand human activities, and the meaning of signs can help overcome
the communication barriers between the inaudible and ordinary people. Sign Language …

Hand gesture is the main method of communication for people who are hearing-impaired,
which poses a difficulty for millions of individuals worldwide when engaging with those who …

Transfer learning has been utilized to solve many complex real-world problems. Over the
last several years, transfer learning had many applications in image and video recognition …

Currently, human sensing draws much attention in the field of ubiquitous computing, and
human sensing based on WiFi CSI (channel state information) becomes a hot research topic …

WiFi-based Human Activity Recognition (HAR) plays a crucial role in achieving device-free
Human-Machine Interaction (HMI). Due to the strong dependence of WiFi Channel State …

Contactless human–computer interaction has been widely used in a variety of scenarios.
WiFi-based approaches can effectively protect user privacy compared to vision-based and …

Abstract Human Activity Recognition (HAR) is widely used in various applications, from
smart homes and healthcare to the Internet of Things (IoT) and virtual reality gaming …

Sign language recognition (SLR) plays a crucial role in bridging the communication gap
between individuals with hearing impairments and the auditory communities. This study …

Abstract Human Activity Recognition (HAR) utilizing Channel State Information (CSI)
extracted from WiFi signals has garnered substantial interest across various domains and …

Wi‐Fi sensing for gesture recognition systems is a fascinating and challenging research
topic. We propose a multitask sign language recognition framework called Wi‐SignFi, which …