Drowning poses a significant threat to human life, making underwater human activity monitoring necessary for pool management. However, it is challenging for existing methods to recognize the aquatic activities of diverse users continuously without ...

We propose FlexibleBP, a novel cuffless blood pressure monitoring system using a wrist-worn flexible sensor to enhance comfort and accuracy. By capturing pulse wave signals from the radial artery, we develop a personalized estimation framework ...

Non-line-of-sight (NLoS) sensing represents a significant advancement in sensor technology. Unlike traditional sensing methods that rely on direct line-of-sight, NLoS sensing allows for the detection and localization of objects obscured from the sensor's ...

Resistance training is widely incorporated in exercise programs, including in-home fitness and rehabilitation. However, improper motion patterns and muscle stimulation can undermine the safety of the subjects, making precise monitoring essential. ...

The accuracy of the current localization methods degrades significantly when the direct path between the wireless transmitter and the target is blocked. This paper considers the problem of using a single mmWave radar and a tag to facilitate localization ...

Depression is a common mental health disorder that significantly impacts psychosocial functioning and the overall quality of life of individuals, with essential characteristics of depressed mood and anhedonia. Diverse pharmacological and psychological ...

Urine concentration levels of important biomarkers offer valuable insights for the detection of chronic diseases. However, existing detection methods are hindered by high costs or limited performance, preventing long-term monitoring of urine components ...

Continuous authentication is increasingly critical for cyber security. However, existing approaches are time-inefficient due to their simple signal modulation with low-effective feature extraction throughput. In this paper, we propose a continuous ...

Non-intrusive Appliance Load Monitoring (NALM) aims to recognize individual appliance usage from the main meter without indoor sensors. However, existing systems struggle to balance dataset construction efficiency and event/state recognition accuracy, ...

Recent regulations on monitoring infants and children in vehicle cabins have spurred interest in using Millimeter-wave (mmWave) radars due to their reliability in various lighting conditions and privacy benefits. However, existing radar-based vital sign ...

In this work, we introduce SEESys, the first system to provide online pose error estimation for Simultaneous Localization and Mapping (SLAM). Unlike prior offline error estimation approaches, the SEESys framework efficiently collects real-time system ...