Self-powered sensing systems augmented with machine learning (ML) represent a path
toward the large-scale deployment of the internet of things (IoT). With autonomous energy …

Nowadays, human-oriented has already become the direction of the development of the
intelligent vehicle, among which, the cabin, in constant contact with drivers, is getting more …

Estimating 3D humans from images often produces implausible bodies that lean, float, or
penetrate the floor. Such methods ignore the fact that bodies are typically supported by the …

Human-machine interfaces for capturing, conveying, and sharing tactile information across
time and space hold immense potential for healthcare, augmented and virtual reality, human …

Accurate real-time tracking of dexterous hand movements has numerous applications in
human–computer interaction, the metaverse, robotics and tele-health. Capturing realistic …

This paper introduces ActionSense, a multimodal dataset and recording framework with an
emphasis on wearable sensing in a kitchen environment. It provides rich, synchronized data …

Transparent object perception is a rapidly develo** research problem in artificial
intelligence. The ability to perceive transparent objects enables robots to achieve higher …

Human environments are physically supported by floors, which prevent people and furniture
from gravitational pull. Since our body motions continuously generate vibrations and loads …

Human mesh reconstruction is essential for various applications, including virtual reality,
motion capture, sports performance analysis, and healthcare monitoring. In healthcare …

Affective touch plays an important role in human-robot interaction. However, it is challenging
for robots to perceive various natural human tactile gestures accurately, and feedback …