Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

Background Analysis of lower limb exercises is traditionally completed with four distinct
methods:(1) 3D motion capture;(2) depth-camera-based systems;(3) visual analysis from a …

This paper presents GoPose, a 3D skeleton-based human pose estimation system that uses
WiFi devices at home. Our system leverages the WiFi signals reflected off the human body …

Chronic and widespread diseases such as obesity, diabetes, and hypercholesterolemia
require patients to monitor their food intake, and food journaling is currently the most …

WiFi human sensing has become increasingly attractive in enabling emerging human-
computer interaction applications. The corresponding technique has gradually evolved from …

The sliding window technique is widely used to segment inertial sensor signals, ie,
accelerometers and gyroscopes, for activity recognition. In this technique, the sensor signals …

Capturing fine-grained hand activity could make computational experiences more powerful
and contextually aware. Indeed, philosopher Immanuel Kant argued," the hand is the visible …

Activity trackers are increasingly popular, but they have high levels of abandonment and
little evidence exists to suggest why this is. This paper explores barriers to engagement with …

Regular free-weight exercise helps to strengthen the body's natural movements and
stabilize muscles that are important to strength, balance, and posture of human beings. Prior …

Manual tracking of health behaviors affords many benefits, including increased awareness
and engagement. However, the capture burden makes long-term manual tracking …