The electrocardiogram (ECG) has always been an important biomedical test to diagnose
cardiovascular diseases. Current approaches for ECG monitoring are based on body …

Human gesture recognition using millimeter-wave (mmWave) signals provides attractive
applications including smart home and in-car interfaces. While existing works achieve …

The major obstacle for learning-based RF sensing is to obtain a high-quality large-scale
annotated dataset. However, unlike visual datasets that can be easily annotated by human …

Non-invasive human vital sign detection has gained significant attention in recent years, with
its potential for contactless, long-term monitoring. Advances in radar systems have enabled …

Due to the ubiquitous deployment of wireless infrastructures, the radio signal nature of
invisibility, and the elimination of the line-of-sight requirement, it has drawn increasing …

Indoor localization is a fundamental task to many real-world applications, which however
remains unresolved, especially with commodity WiFi Access Points (APs). In this paper, we …

Fall is a severe health threat for elders' health care. While existing systems could achieve
promising performance under specific scenarios, the required computing resources are …

Unmanned robots are increasingly used around humans in factories, malls, and hotels. As
they navigate our space, it is important to ensure that such robots do not collide with people …

Cardiovascular diseases claim over 10 million lives annually, highlighting the critical need
for long-term monitoring and early detection of cardiac abnormalities. Existing techniques …

Human silhouette segmentation, which is originally defined in computer vision, has
achieved promising results for understanding human activities. However, the physical …