The ability to understand and manage social signals of a person we are communicating with
is the core of social intelligence. Social intelligence is a facet of human intelligence that has …

Human activity recognition (HAR) systems attempt to automatically identify and analyze
human activities using acquired information from various types of sensors. Although several …

The scarcity of trained therapist, economic imbalance, and an increasing amount of elderly
people are the reasons for poor rehabilitation treatment and inadequate healthcare facilities …

Vision-based human action recognition is the process of labeling image sequences with
action labels. Robust solutions to this problem have applications in domains such as visual …

The ability to analyze the actions which occur in a video is essential for automatic
understanding of sports. Action localization and recognition in videos are two main research …

A shape-motion prototype-based approach is introduced for action recognition. The
approach represents an action as a sequence of prototypes for efficient and flexible action …

This paper proposes a novel representation of articulated human actions and gestures and
facial expressions. The main goals of the proposed approach are: 1) to enable recognition …

Motion in-betweening (MIB) is a process of generating intermediate skeletal movement
between the given start and target poses while preserving the naturalness of the motion …

In this paper, a novel view invariant action recognition method based on neural network
representation and recognition is proposed. The novel representation of action videos is …

In this paper, we propose a new supervised classification method based on a modified
sparse model for action recognition. The main contributions are three-fold. First, a novel …