Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

Background The aging population is steadily increasing, posing new challenges and
opportunities for healthcare systems worldwide. Technological advancements, particularly in …

Wearable sensors are widely used in medical applications and human–computer interaction
because of their portability and powerful privacy. Human activity identification based on …

Human activity recognition has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

In this paper, we focus on data-driven approaches to human activity recognition (HAR). Data-
driven approaches rely on good quality data during training, however, a shortage of high …

Complex assistive systems providing human behavior support independent of the age or
abilities of users are broadly used in a variety of domains including automotive, production …

Fine-grained non-intrusive monitoring of activities of daily living (ADL) enables various smart
building applications, including ADL pattern assessments for older adults at risk for loss of …

As aging populations continue to grow, primarily in developed countries, there are
increasing demands for the system that monitors the activities of elderly people while …

In this study, we developed a detailed occupant activity classification model to detect
occupant activities using various non-intrusive monitoring data in buildings (ie, indoor …

When the mental acuity of older adults deteriorates (eg, dementia), irregular patterns
manifest within their activities of daily living (ADL), which renders an effective opportunity for …