Human Activity Recognition (HAR) from sensors has real-world applications such as fall
detection of elderly or improvement in human-robot interactions, but privacy is of concern in …

Numerous methods and applications have been proposed in human activity recognition
(HAR). This paper presents a mini-survey of recent HAR studies and our originally …

As an important branch of IoT applications, Human activity recognition (HAR) is widely used
in daily life, particularly through vision-based methods. However, vision-based HAR has …

Human activity recognition is an extensively researched topic in the field of computer vision.
Recognizing human activities without revealing a person's identity is one such use case. To …

Human posture recognition is the foundation of the human activity monitoring. The activity
monitoring system is in high demand for the elderly living alone to monitor their health status …

Human Activity Recognition (HAR) has recently received remarkable attentions in numerous
applications such as assisted living and remote monitoring. Existing solutions based on …

In the advent of wearable body-cameras, human activity classification from First-Person
Videos (FPV) has become a topic of increasing importance for various applications …

With the advent of wearable body cameras, human activity classification from First-Person
Videos (FPV) has become a topic of increasing importance for various applications …

A privacy preserving approach for recognising Activities of Daily Living (ADLs) is proposed
within this work. Low-resolution thermal sensors and Convolutional Neural Network (CNN) …

Federated Learning (FL) has emerged as a pivotal technology for the Internet of Things (IoT)
that models distributed client data without compromising privacy. The IoT-based wearable …