The scanpath is an important concept in eye tracking. It refers to a person's eye movements
over a period of time, commonly represented as a series of alternating fixations and …

In this paper, we present EV-Eye, a first-of-its-kind large scale multimodal eye tracking
dataset aimed at inspiring research on high-frequency eye/gaze tracking. EV-Eye utilizes an …

Advancements in wearable sensor technologies and the digitization of medical records have
contributed to the unprecedented ubiquity of biomedical time series data. Data-driven …

Numerous deep learning studies have achieved remarkable advances in WiFi-based
human gesture recognition (HGR) using channel state information (CSI). However, since the …

The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

Virtual Reality (VR) technology, extensively utilized in gaming, social networking, and online
collaboration, has raised significant security concerns due to the array of sensors integrated …

Recent advances in eye tracking have given birth to a new genre of gaze-based context
sensing applications, ranging from cognitive load estimation to emotion recognition. To …

Continual Learning (CL) allows applications such as user personalization and household
robots to learn on the fly and adapt to context. This is an important feature when context …

Handwritten signature verification has become one of the most important document
authentication methods that are widely used in the financial, legal, and administrative …

Wi-Fi sensing technology based on deep learning has contributed many breakthroughs in
gesture recognition tasks. However, most methods concentrate on single domain …