ARAS Human Activity Datasets In Multiple Homes with Multiple Residents

Download
2013-05-08
Alemdar, Hande
Incel, Ozlem Durmaz
Ersoy, Cem
The real world human activity datasets are of great importance in development of novel machine learning methods for automatic recognition of human activities in smart environments. In this study, we present the details of ARAS (Activity Recognition with Ambient Sensing) human activity recognition datasets that are collected from two real houses with multiple residents during two months. The datasets contain the ground truth labels for 27 different activities. Each house was equipped with 20 binary sensors of different types that communicate wirelessly using the ZigBee protocol. A full month of information which contains the sensor data and the activity labels for both residents was gathered from each house, resulting in a total of two months data. In the paper, particularly, we explain the details of sensor selection, targeted activities, deployment of the sensors and the characteristics of the collected data and provide the results of our preliminary experiments on the datasets.
7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth)

Suggestions

IoT-Based Real-Time updating multi-layered learning system applied for a special care context during COVID-19
Erişen, Serdar (2022-12-01)
In response to the COVID-19 pandemic and the need for increased research, this study aimed to develop a real-time learning system to provide infection control for residential special care contexts and in doing so, explored different crowdsourcing technologies, spatial usages, and data processing methods within the scope of smart health-care systems and environments. Experiments were conducted in the selected special care indoor environment, which was fitted with sensors and Internet of Things devices, from ...
Wireless Communication Aspects in the Internet of Things: An Overview
ULUŞAR, ÜMİT DENİZ; Celik, Gurkan; Al-Turjman, Fadi (2017-10-12)
Recent advances in technology propelled the development of resource constrained tiny devices and the concept of Internet of Things (IoT). Potential applications spanning various fields of science from environmental to medical have been emerged. Different architectures, routing protocols, performance issues and goals have been suggested. In this work, we review fundamental concepts, recent developments and critical design factors under IoT-specific constraints and objectives such as energy efficiency and env...
Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications
Ozdin, Ali Nail; Yazıcı, Adnan; KOYUNCU, Murat (2019-01-01)
This study aims to increase the reliability of activity detection in Wireless Multimedia Sensor Networks (WMSNs) by using Semantic Web technologies extended with fuzzy logic. The proposed approach consists of three layers: the sensor layer, the data layer, and the Semantic Web layer. The sensor layer comprises a WMSN comprising sensor nodes with multimedia and scalar sensors. The data layer retrieves and stores data from the sink of WMSN. At the top of the architecture, there is a semantic web layer that in...
Energy effiecient wireless sensor network clustering algorithms and their real life performance evaluation
Uyar, Mehmet Erhan; Eren, Pekin Erhan; Koçyiğit, Altan; Department of Information Systems (2012)
Improvements in technology result in evolution of smart devices. One of such smart devices is wireless sensor nodes, which consist of a sensing board, a battery supply and a wireless antenna to transfer data. We can collect information from the environment by deploying thousands of these tiny smart devices. These devices can also be used to monitor natural habitats or used in giant machine parts for performance evolution. Energy efficient operation is an important issue for wireless sensor network design an...
Joint Virtual Machine Embedding and Wireless Data Center Topology Management
Bütün, Beyza; Onur, Ertan; Department of Computer Engineering (2022-5-10)
With emerging technologies such as the Internet of Things and 5G, generated data grows enormously. Hence, Data Center Networks (DCNs) have an important duty to store and process a significant amount of data, which makes them a critical component of the network. To meet the massive amount of traffic demands, wired DCNs need to deploy large numbers of servers and power-hungry switches, and huge lengths of wires. An enormous increase in the usage of cables causes high cabling complexity and cost while deployin...
Citation Formats
H. Alemdar, O. D. Incel, and C. Ersoy, “ARAS Human Activity Datasets In Multiple Homes with Multiple Residents,” presented at the 7th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth), Venice, ITALY, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/36652.