Physical and mental health are impacted as a person grows old. A Human Activity
Recognition (HAR) system, which tracks a person's activity patterns and intervenes in case …

Human Activity Recognition (HAR) has emerged as a potential research topic for smart
healthcare owing to the fast growth of wearable and smart devices in recent years. The …

Increased life expectancy coupled with declining birth rates is leading to an aging
population structure. Aging-caused changes, such as physical or cognitive decline, could …

Human activity recognition system (HARS) is critical for monitoring individuals' health and
movements, especially the elderly and the disabled, in different environments. Wearable …

Human activity recognition (HAR) can be exploited to great benefits in many applications,
including elder care, health care, rehabilitation, entertainment, and monitoring. Many …

In this paper, we propose new deep learning architectures to fuse data provided by multiple
sensors. More specifically, we combine classical features extracted from a sensor and raw …

For the past few years, smartphone based human activity recognition (HAR) has gained
much popularity due to its embedded sensors which have found various applications in …

Wearable sensor-based human activity recognition (HAR) is the study that deals with sensor
data to understand human movement and behavior. In a HAR model, feature extraction is …

Convolutional neural networks (CNNs) have shown great promise in human activity
recognition (HAR), but long-term dependencies in time series data can be difficult to capture …

Biomedical images contain a huge number of sensor measurements that can provide
disease characteristics. Computer-assisted analysis of such parameters aids in the early …