Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

The uncertainty and dynamic of home environment present great challenges to the task
planning of service robots. The nature of the home environment is highly unstructured, with a …

Utilizing data acquired by multiple wearable sensors can usually guarantee more accurate
recognition for deep learning based human activity recognition. However, an increased …

Human activity recognition (HAR) performs a vital function in various fields, including
healthcare, rehabilitation, elder care, and monitoring. Researchers are using mobile sensor …

Human behaviour analysis, human–computer interaction, and pervasive computing are
three areas where human activity recognition has recently attracted a lot of attention. Recent …

Smartphones and wearable devices have built-in sensors that can collect multivariant time-
series data that can be used to recognize human activities. Research on human activity …

Sensor-based human activity recognition with wearable devices has captured the attention
of researchers in the last decade. The possibility of collecting large sets of data from various …

With the increasing popularity of wearable sensors, deep-learning-based human activity
recognition (HAR) has attracted great interest from both academic and industrial fields in …

Sleep apnea syndrome (SAS) is a common chronic respiratory disorder, which seriously
harms human health. In order to realize the large-scale promotion of SAS detection, the SAS …

Modern monostatic radar-based human activity recognition (HAR) systems perform very well
as long as the direction of human activities is either toward or away from the radar. The …