Human activity recognition systems are developed as part of a framework to enable
continuous monitoring of human behaviours in the area of ambient assisted living, sports …

Abstract Human Computer Interaction (HCI) technologies are rapidly evolving the way we
interact with computing devices and adapting to the constantly increasing demands of …

Recurrent neural network (RNN) and long short-term memory (LSTM) have achieved great
success in processing sequential multimedia data and yielded the state-of-the-art results in …

The rise of machine learning increases the current computing capabilities and paves the
way to novel disruptive applications. In the current era of big data, the application of image …

Emerging trends in mobile edge computing for develo** the efficient healthcare
application such as, remote monitoring of the patients with central electronics clouds (e …

Action recognition is a challenging research area in which several convolutional neural
networks (CNN) based action recognition methods are recently presented. However, such …

Social media sentiment analysis (also known as opinion mining) which aims to extract
people's opinions, attitudes and emotions from social networks has become a research …

Image segmentation plays an important role in the computer vision. However, it is extremely
challenging due to low resolution, high noise and blurry boundaries. Recently, region-based …

Human activity recognition (HAR) using smartphone sensors has attracted great attention
due to its wide range of applications. A standard solution for HAR is to first generate some …

Most person re-identification (ReID) approaches assume that person images are captured
under relatively similar illumination conditions. In reality, long-term person retrieval is …