Current studies have shown that the spatial‐temporal graph convolutional network (ST‐
GCN) is effective for skeleton‐based action recognition. However, for the existing ST‐GCN …

Cancer is the uncontrollable cell division of abnormal cells inside the human body, which
can spread to other body organs. It is a non-communicable diseases (NCDs), which account …

This report proposes state-of-the-art research in the field of Computer Assisted Language
Learning (CALL). Mispronunciation detection is one of the core components of Computer …

In the area of multimedia indexing and processing, a big challenge is to classify the mood of
the listener through music. It is also a prodigious challenge to separate the noisy signals into …

Skeleton based recognition systems are gaining popularity and machine learning models
focusing on points or joints in a skeleton have proved to be computationally effective and …

How to retrieve music accurately and quickly from a large scale of music database has been
a hot topic in multimedia information retrieval. In this paper, we aim to propose a novel music …

Humanoid robots have apparently similar body structure like human beings. Due to their
technical design, they are sharing the same workspace with humans. They are placed to …

This paper presents an agent-based model to compare different coordination patterns in
joint fire support (JFS) scenarios. Modern war fighting approaches depend heavily on a …

As in any interaction process, misunderstandings, ambiguity, and failures to correctly
understand the interaction partner are bound to happen in human-robot interaction. We term …

Faces play a magnificent role in human robot interaction, as they do in our daily life. The
inherent ability of the human mind facilitates us to recognize a person by exploiting various …