Obtaining information (eg, position, respiration, and heartbeat rates) on humans located
behind opaque and non-metallic obstacles (eg, walls and wood) has prompted the …

Quantitative indoor monitoring, in a low-invasive and accurate way, is still an unmet need in
clinical practice. Indoor environments are more challenging than outdoor environments, and …

Fall detection is a major challenge for researchers. Indeed, a fall can cause injuries such as
femoral neck fracture, brain hemorrhage, or skin burns, leading to significant pain. However …

Precise localization and tracking of moving objects is of great interest for a variety of
emerging applications including the Internet-of-Things (IoT). The localization and tracking …

Conventional radar-based people counting systems are designed mainly for dense spatial
distributions in a small region of interest (ROI). Therefore, a system with only conventional …

While full-night polysomnography is the gold standard for the diagnosis of obstructive sleep
apnea, its limitations include a high cost and first-night effects. This study developed an …

In this paper, we propose an efficient and robust non-contact heart rate estimation algorithm.
The key idea is to recover the fundamental heartbeat frequency from its higher-order …

With the development of deep learning (DL) frameworks in the field of pattern recognition,
DL-based algorithms have outperformed handcrafted feature (HF)-based ones in various …

Targets located at the same distance are easily neglected in most through-wall multiple
targets detecting applications which use the single-input single-output (SISO) ultra …

Timely calls for help can really make a difference for elders who suffer from falls, particularly
in private locations. Considering privacy protection and convenience for the users, in this …