Humans, being highly social creatures, rely heavily on the ability to perceive what others are
doing and to infer from gestures and expressions what others may be intending to do. These …

Vision-based human action and activity recognition has an increasing importance among
the computer vision community with applications to visual surveillance, video retrieval and …

Thanks to the decreasing cost of whole-body sensing technology and its increasing
reliability, there is an increasing interest in, and understanding of, the role played by body …

Recognizing human physical activities using wireless sensor networks has attracted
significant research interest due to its broad range of applications, such as healthcare …

We present a novel classifier network called STEP, to classify perceived human emotion
from gaits, based on a Spatial Temporal Graph Convolutional Network (ST-GCN) …

Automatic emotion recognition from the analysis of body movement has tremendous
potential to revolutionize virtual reality, robotics, behavior modeling, and biometric identity …

We present a large-scale whole-body human motion database consisting of captured raw
motion data as well as the corresponding post-processed motions. This database serves as …

Body movements communicate affective expressions and, in recent years, computational
models have been developed to recognize affective expressions from body movements or to …

As part of the open sourcing of the Microsoft Rocketbox avatar library for research and
academic purposes, here we discuss the importance of rigged avatars for the Virtual and …

Pain-related emotions are a major barrier to effective self rehabilitation in chronic pain.
Automated coaching systems capable of detecting these emotions are a potential solution …