The development of big data technologies, which have been applied extensively in various
areas, has become one of the key factors affecting modern society, especially in the virtual …

Seniors who live alone at home are at risk of falling and injuring themselves and, thus, may
need a mobile robot that monitors and recognizes their poses automatically. Even though …

This work targets a novel text-driven whole-body motion generation task, which takes a
given textual description as input and aims at generating high-quality, diverse, and coherent …

We propose a linear regression model for the estimation of human body measurements. The
input to the model only consists of the information that a person can self-estimate, such as …

In virtual reality (VR) systems, a problem is the accurate reproduction of the user's body in a
virtual environment using inverse kinematics because existing motion capture systems have …

Abstract 3D human pose and shape estimation is the foundation of analyzing human motion.
However, estimating accurate and temporally consistent 3D human motion from a video …

Physical rehabilitation plays a crucial role in restoring motor function following injuries or
surgeries. However, the challenge of overcrowded waiting lists often hampers doctors' ability …

The research introduces a unique deep-learning-based technique for remote rehabilitative
analysis of image-captured human movements and postures. We present a ploninomial …

Human pose estimation (HPE) is a technique used in computer vision and artificial
intelligence to detect and track human body parts and poses using images or videos. Widely …

Group activity recognition is a prime research topic in video understanding and has many
practical applications, such as crowd behavior monitoring, video surveillance, etc. To …