Human activity recognition (HAR) has a wide range of applications in medical care, elderly
care and so on. Due to the development of wearable sensor technology, HAR based on …

Human Activity Recognition (HAR) has been proven to be effective in various healthcare
and telemonitoring applications. Current HAR methods, especially deep learning, are …

Numerous learning-based techniques for effective human activity recognition (HAR) have
recently been developed. Wearable inertial sensors are critical for HAR studies to …

In recent years, human activity recognition (HAR) has attracted a lot of attention due to its
wide application, such as indoor positioning and navigation. This paper proposes a …

Human Activity Recognition has a vital role for its immense applications in human life. With
the advances in sensor technologies and utilizing the IoT, HAR has a wide area of research …

Human Activity Recognition (HAR) is nowadays widely used in intelligent perception and
medical detection, and the use of traditional neural networks and deep learning methods …

Due to the breadth of its application domains, Hu-man Activity Recognition (HAR) is a
problematic area of human-computer interaction. HAR can be used in remote monitoring of …

Human activity recognition has been widely used in healthcare applications such as elderly
monitoring, exercise supervision, and rehabilitation monitoring. Compared with other …

Currently, three-dimensional convolutional neural networks (3DCNNs) are a popular
approach in the field of human activity recognition. However, due to the variety of methods …

Wearable sensor based Human Activity Recognition (HAR) has been widely used these
years. This paper proposed a novel deep learning model for HAR using inertial sensors …