DreamCatcher: a wearer-aware sleep event dataset based on earables in non-restrictive environments
First wearer-aware sleep event method with dataset using earables. Detects sleep disorders even when sharing a bed.
First wearer-aware sleep event method with dataset using earables. Detects sleep disorders even when sharing a bed.
We introduce CardboardHRV, an affordable and effective heart rate variability (HRV) biofeedback system leveraging Cardboard VR. Designed for easy access to HRV biofeedback without …
Nailfold capillaroscopy is widely used in assessing health conditions, highlighting the pressing need for an automated nailfold capillary analysis system. In this study, we present …
RCamera-based physiological measurement is a fast growing field of computer vision. Remote photoplethysmography (rPPG) utilizes imaging devices (e.g., cameras) to measure the …
Low-resolution cameras balance privacy and activity recognition. Models the trade-off for privacy-preserving vision systems.
Remote photoplethysmography (rPPG) is an attractive method for noninvasive, convenient and concomitant measurement of physiological vital signals. Public benchmark datasets have …
This work presents ‘Lightron’, a wearable sensor system designed for boxing training assistance, improving punching accuracy for novices. This system combines accelerometers, …
Automatic unknown word detection techniques can enable new applications for assisting English as a Second Language (ESL) learners, thus improving their reading experiences. …
Gestures performed accompanying the voice are essential for voice interaction to convey complementary semantics for interaction purposes such as wake-up state and input modality. …
Cough monitoring can enable new individual pulmonary health applications. Subject cough event detection is the foundation for continuous cough monitoring. Recently, the rapid …