Classification of human actions is an ongoing research problem in computer vision. This
review is aimed to scope current literature on data fusion and action recognition techniques …

Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …

Automatic interpretation of human actions from realistic videos attracts increasing research
attention owing to its growing demand in real-world deployments such as biometrics …

Abstract The Human Activity Recognition (HAR) problem leverages pattern recognition to
classify physical human activities as they are captured by several sensor modalities. Remote …

Digitization of human motion using skeleton representations offers exciting possibilities for a
large number of applications but, at the same time, requires innovative techniques for their …

Nowadays, one of the most important objectives in health research is the improvement of the
living conditions and well-being of the elderly, especially those who live alone. These …

Proactive robot assistance enables a robot to anticipate and provide for a user's needs
without being explicitly asked. We formulate proactive assistance as the problem of the robot …

A wide spectrum of digital data are becoming available to researchers and industries
interested in the recording, documentation, recognition, and reproduction of human …

Football (soccer) stands as the world's most popular sport, enthralling millions of fans
globally. Within the dynamic sphere of modern football, gaining comprehensive insights into …

With the emergence of deep learning, computer vision has witnessed extensive
advancement and has seen immense applications in multiple domains. Specifically, image …