Activity recognition is a key problem in multisensor systems. With data collected from
different sensors, a multi-sensor system identifies activities performed by the inhabitants …

Activity recognition driven by sensor data has been heavily focused on in recent years,
especially as wearable sensors become more common and popular personal equipments …

Developing an accurate activity recognition system with sensor readings is a challenging
task due to the fact that sensors are subjected to a variety of errors and the nature of human …

Our aim is to build a daily activity surveillance system for elderly people. In this study, we
develop Deep Neural Network (RNN) based approach for human activity recognition task by …

Activity recognition is an important task in the researches of ambient intelligence and smart
environment. In real smart environments, detected signals of monitoring living space come …

Activity recognition in smart environments is an important technology for assisted living and
e-health. Recently there are growing interests in applying machine learning algorithms to …

In this paper, we propose an approach for an online human daily activity recognition system
using motion sensor data. From the sensor readings, the system decides which activity is …

Real time (online) recognition of complex activities remains a challenging and active area of
research. In this paper, we propose a sliding window based activity recognition (AR) method …

Human activity recognition using smart home sensors is one of the bases of ubiquitous
computing in smart environments and a topic undergoing intense research in the field of …

Smart environment is one of the important research issues in the area of ambient
intelligence and pervasive computing. The high accurate activity recognition is the basis of …