Solutions are needed to satisfy care demands of older adults to live independently.
Wearable technology (wearables) is one approach that offers a viable means for ubiquitous …

This paper encourages the cooperation of different Internet of Things technologies in
industrial environments for avoiding social disruption in novel Industry 4.0 paradigms. For …

Smart user devices are becoming increasingly ubiquitous and useful for detecting the user's
context and his/her current activity. This work analyzes and proposes several techniques to …

In the last decade, deep learning techniques have further improved human activity
recognition (HAR) performance on several benchmark datasets. This paper presents a novel …

This paper focuses on detecting freezing of gait in Parkinson's patients using body-worn
accelerometers. In this study, we analyzed the robustness of four feature sets, two of which …

Extracting informative and meaningful temporal segments from high-dimensional wearable
sensor data, smart devices, or IoT data is a vital preprocessing step in applications such as …

This paper presents the development of a Human Activity Recognition (HAR) system that
uses a network of nine inertial measurement units situated in different body parts. Every unit …

This paper analyzes the main motion characteristics of several types of movement using
wearable sensor data. Based on this analysis, different deep learning-based strategies were …

Unobtrusive activity monitoring can provide valuable information for medical and sports
applications. In recent years, human activity recognition has moved to wearable sensors to …

Human activity recognition is a thriving field with many applications in several domains. It
relies on well-trained artificial intelligence models to provide accurate real-time predictions …