As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …

Providing accurate information on people's activities and behaviors plays an important role
in innumerable applications, such as medical, security, and entertainment. In recent years …

Human activity recognition (HAR) has been regarded as an indispensable part of many
smart home systems and smart healthcare applications. Specifically, HAR is of great …

With the advancement of artificial intelligence, smart home has attracted much attention from
scholars. Human Activity Recognition (HAR) is a crucial foundation for various applications …

Activity recognition is an important step towards monitoring and evaluating the functional
health of an individual, and it potentially promotes human-centric ubiquitous applications in …

In last few decades, human activity recognition grabbed considerable research attentions
from a wide range of pattern recognition and human–computer interaction researchers due …

We propose a novel activity learning framework based on Edge Cloud architecture for the
purpose of recognizing and predicting human activities. Although activity recognition has …

Human activity recognition aims to determine the actions or behavior of a person based on
the time series data. In recent year, more large human activity recognition datasets are …

The recognition of human activities has become a dominant emerging research problem
and widely covered application areas in surveillance, wellness management, healthcare …

Background & Objective: This paper proposes a Fourier transform inspired method to
classify human activities from time series sensor data. Methods: Our method begins by …