Sensing technology plays a crucial role in bridging the physical and digital worlds. By
transforming a multitude of physical phenomena into digital data, it significantly enhances …

The recent proliferation of various wireless sensing systems and applications demonstrates
the advantages of radio frequency (RF) signals over traditional camera-based solutions that …

Millimeter-wave radar has demonstrated its high efficiency in complex environments in
recent years, which outperforms LiDAR and computer vision in human activity recognition in …

Smart environment sensing provides valuable contextual information by detecting
occurrences of events such as human activities and changes of object status, enabling …

The automatic recognition of when and for how long a person is eating a certain food or
drinking has applications in telecare, smarthome data monetization, and diet control …

Unhealthy dietary habits are considered as the primary cause of various chronic diseases,
including obesity and diabetes. The automatic food intake monitoring system has the …

Artificial Intelligence (AI) has been the key driver in the rapid advancement of modern
networking technologies, encompassing both wired and wireless communication systems …

Out-of-distribution (OOD) detection targets to detect and reject test samples with semantic
shifts, to prevent models trained on in-distribution (ID) dataset from producing unreliable …

Non-invasive and privacy-preserving recognition of food intake activities has applications in
diet management, telecare, and smarthome data monetization. In this paper, we tackle the …

Human activity recognition, which involves recognizing human activities from sensor data,
has drawn a lot of interest from researchers and practitioners as a result of the advent of …