Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …

A smart home, which is an extension of a traditional home, is equipped with ubiquitous
sensors embedded in consumer appliances, connected via sensing technologies such as …

The research area of ambient assisted living has led to the development of activity
recognition systems (ARS) based on human activity recognition (HAR). These systems …

Human activity recognition (HAR) with smartphone sensors is a significant research
direction in human‐cyber‐physical systems. Aiming at the problem of feature redundancy …

Physical activity recognition is a field that infers human activities used in machine learning
techniques through wearable devices and embedded inertial sensors of smartphones. It has …

As the world's population is aging, and since access to ambient sensors has become easier
over the past years, activity recognition in smart home installations has gained increased …

Abstract Human Activity Recognition (HAR) in smart environments is a well-explored
research domain, given its diverse applications which include healthcare, surveillance …

Tracking and recognizing the functional activities in a smart home environment using
ambient sensor technology is becoming an interesting field to discover. Its passive and …

Recording and sharing childcare information is crucial for accurately assessing a child's
health status and taking appropriate action in case of illness or other emergencies. Although …

Nursing activities are complex in nature: in the real scenario, when nurses perform
caregiving activities, they can perform concurrent activities or multiple activities at a time …