Abstract Human Activity Recognition (HAR) using wearable and mobile sensors has gained
momentum in last few years, in various fields, such as, healthcare, surveillance, education …

Human activity recognition is concerned with detecting different types of human movements
and actions using data gathered from various types of sensors. Deep learning approaches …

With the development of science and technology and the application of big data technology,
a new computing model based on the Internet has gradually been applied to all levels of …

Deeply learned representations are the state-of-the-art descriptors for face recognition
methods. These representations encode latent features that are difficult to explain …

Sensor-based Human Activity Recognition (HAR) provides valuable knowledge to many
areas. Recently, wearable devices have gained space as a relevant source of data …

Material recognition, as an important task of computer vision, is hugely challenging, due to
large intra-class variances and small inter-class variances between material images. To …

With the advent of practical world operations, image detection and labeling have become a
significant field of machine learning. The present assessment provides an overview of the …

Due to electronic industry developments in making smallsize sensors, monitoring human
activities has become an evolving topic. Human action recognition is known as detecting …