Within the realm of e-commerce networks, it is frequently observed that certain users exhibit
behavior patterns that differ substantially from the normative behaviors exhibited by the …

Developing a human activity recognition (HAR) system for employees is essential to
incorporate intelligence into smart office environments, enabling various human-centered …

Falling poses significant risks, especially for the geriatric population. In this study, the
authors introduce an innovative approach to privacy‐preserving fall detection using …

Pyroelectric infrared sensors (PIR) are widely used as infrared (IR) detectors due to their
basic implementation, low cost, low power, and performance. Combined with a Fresnel lens …

Recognizing interactive actions, including hand-to-hand interaction and human-to-human
interaction, has attracted increasing attention for various applications in the field of video …

The global trend of increasing life expectancy introduces new challenges with far-reaching
implications. Among these, the risk of falls among older adults is particularly signiŻcant …

Abstract In Ambient Assisted Living (AAL), emotion detection plays a crucial role in offering
personalized and effective support to users. However, the lack of labeled data for emotion …

Gait, or the unique way every human walks is widely recognised as an important indicator of
overall health and predictor of fall risks. Recently, machine learning based classifiers have …

This study presents a kinematic calibration method for exoskeletal inertial motion capture (EI-
MoCap) system with considering the random colored noise such as gyroscopic drift. In this …

Despite extensive research on human-centric domestic behaviour monitoring for various
essential applications, there are still significant challenges to deploying such systems on a …