Deep learning makes radar-based human activity recognition (HAR) attract more attention in the fields of intelligent security, traffic management, medical rehabilitation and military operation, ...

Recently, the recent advancement of deep learning with the capacity to perform automatic high-level feature extraction has achieved promising performance for sensor-based human activity recognition ...

Human activity recognition (HAR) using Wi-Fi signals has gained significant attention due to its non-invasive nature, ubiquity, and respect for privacy, in contrast to camera-based systems. This study ...

In order to solve the problem that traditional CNN lacks feature extraction for the time dimension, and the traditional RNN is easy to ignore local information when processing long sequences. In this ...

Human activity recognition (HAR) has attracted significant attention in various fields, including healthcare, smart homes, and human-computer interaction. Accurate HAR can enhance user experience, ...

WiFi-based human activity recognition has gained ever-growing attention in the field of wireless sensor networks. As a promising technology, it has large application potential for smart homes and ...

Nowadays, human activity recognition plays an essential role in the application of human-computer interaction. Comprehensive systems, however, mostly rely on wearables, video cameras, and ambient ...

The purpose of this study is to deeply explore and make full use of 3D Convolutional neural networks (3D-CNN) to carry out efficient and accurate automatic recognition of diverse and subtle movements ...

In the last decade, there was a development of technologies that allowed the possibility of storing and processing large amounts of data. Due to this, there was a considerable increase in the use of ...

Human activity recognition (HAR) is crucial in various domains, such as healthcare, elderly care, sports, gait analysis, and security surveillance. Despite its critical role in these fields, achieving ...

In radar activity recognition, 2D signal representations such as spectrogram, cepstrum and cadence velocity diagram are often utilized, while range information is often neglected. In this work, we ...

In rapidly evolving the Internet-of-Things (IoT) industry, human activity recognition (HAR) technology based on wearable sensors always plays a pivotal role. Deep learning models, especially ...