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 has gained importance in recent years due to its applications in
various fields such as health, security and surveillance, entertainment, and intelligent …

We present a new dataset, called Orange4Home, of activities of daily living of one inhabitant
in a smart home environment. We collected data from 236 heterogeneous sensors in a fully …

Interaction with the environments in which humans live is increasing more and more, and
Artificial Intelligence (AI) offers significant contributions to this. Although the topic of smart …

Timely and efficient analysis of big data collected from various gateways installed in a smart
city is an intractable problem and requires immediate priority. Given the stochastic and …

Activity recognition is one of the significant technologies accompanying the development of
the Internet of Things (IoT). It can help in recording daily life activities or reporting …

Simulating human behavior in virtual environments is still a challenge. Yet, this feature is
crucial to make them more believable. Therefore, many approaches have been proposed in …

This paper presents a technique for inferring the availability of people to receive
communications based on their current situation. This technique uses a context model that …

Due to the increasingly fast-paced life in the city, people have become exhausted. In
addition, the increasing severity of aging also reminds society of the need to reduce the …

Traditionally, the automatic recognition of human activities is performed with supervised
learning algorithms on limited sets of specific activities. This work proposes to recognize …