A Open Hardware Wireless Sensor Monitoring System for Human Wellbeing Research in Ambient Assisted Living

2015 ◽  
pp. 30-40
Author(s):  
Sebastian D. Bersch ◽  
Djamel Azzi ◽  
Rinat Khusainov ◽  
Ifeyinwa E. Achumba
Keyword(s):  
Monitoring System ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Wireless Sensor ◽  
Open Hardware ◽  
Human Wellbeing ◽  
Sensor Monitoring

The Smart Condo Project

2011 ◽  
pp. 289-314 ◽  
Author(s):  
Nicholas M. Boers ◽  
David Chodos ◽  
Pawel Gburzynski ◽  
Lisa Guirguis ◽  
Jianzhao Huang ◽  
...  
Keyword(s):  
Sensor Network ◽  
Assisted Living ◽  
Universal Design ◽  
Ambient Assisted Living ◽  
Lessons Learned ◽  
Wireless Sensor ◽  
High Quality ◽  
Quality Healthcare ◽  
Living Space ◽  
Smart Healthcare

Most would agree that older adults want affordable, high-quality healthcare that enables them to live independently longer and in their own homes. To this end, ambient assisted living environments have been developed that are able to non-intrusively monitor the health of people at-home and to provide them with improved care. The authors have designed an environment, the Smart Condo, to support seniors and rehabilitating patients. They have embedded a wireless sensor network into a model living space, which incorporates universal design principles. Information from the sensor network is archived in a server, which supports a range of views via APIs. One such view is a virtual world, which is realistic and intuitive, while remaining non-intrusive. This chapter examines computing technologies for smart healthcare-related environments and the needs of elderly patients. It discusses the Smart Condo architecture, reviews key research challenges, and presents the lessons learned through the project.

scholarly journals In-home monitoring system based on WiFi fingerprints for ambient assisted living

2017 ◽  
Vol 9 (5) ◽  
pp. 543-560 ◽  
Author(s):  
Joaquín Torres-Sospedra ◽  
Óscar Belmonte-Fernández ◽  
Raúl Montoliu ◽  
Sergio Trilles ◽  
Andrea Calia
Keyword(s):  
Monitoring System ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Home Monitoring

scholarly journals Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents

Sensors ◽  
2014 ◽  
Vol 14 (6) ◽  
pp. 9692-9719 ◽  
Author(s):  
Can Tunca ◽  
Hande Alemdar ◽  
Halil Ertan ◽  
Ozlem Incel ◽  
Cem Ersoy
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Wireless Sensor ◽  
Multiple Residents

scholarly journals Fall Detection on Ambient Assisted Living using a Wireless Sensor Network

2013 ◽  
Vol 1 (1) ◽  
pp. 62-77 ◽  
Author(s):  
António Pereira ◽  
Filipe Felisberto ◽  
Luis Maduro ◽  
Miguel Felgueiras
Keyword(s):  
Sensor Networks ◽  
Distributed System ◽  
Assisted Living ◽  
Daily Living ◽  
Ambient Assisted Living ◽  
Fall Detection ◽  
Wireless Sensor ◽  
Intelligent Algorithm ◽  
Control Center ◽  
New Information

In this work, a distributed system for fall detection is presented. The proposed system was designed to monitor activities of the daily living of elderly people and to inform the caregivers when a falls event occurs. This system uses a scalable wireless sensor networks to collect the data and transmit it to a control center. Also, an intelligent algorithm is used to process the data collected by the sensor networks and calculate if an event is, or not, a fall. A statistical method is used to improve this algorithm and to reduce false positives. The system presented has the capability to learn with past events and to adapt is behavior with new information collected from the monitored elders. The results obtained show that the system has an accuracy above 98%.  

scholarly journals AAL Middleware Infrastructure for Green Bed Activity Monitoring

2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Filippo Palumbo ◽  
Paolo Barsocchi ◽  
Francesco Furfari ◽  
Erina Ferro
Keyword(s):  
Pervasive Computing ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Signal Strength ◽  
General Purpose ◽  
Wireless Sensor ◽  
Sleep Monitoring ◽  
Sensor Devices ◽  
Service Oriented ◽  
Computing Environments

This paper describes a service-oriented middleware platform for ambient assisted living and its use in two different bed activity services: bedsore prevention and sleeping monitoring. A detailed description of the middleware platform, its elements and interfaces, as well as a service that is able to classify some typical user's positions in the bed is presented. Wireless sensor networks are supposed to be widely deployed in indoor settings and on people's bodies in tomorrow's pervasive computing environments. The key idea of this work is to leverage their presence by collecting the received signal strength measured among fixed general-purpose wireless sensor devices, deployed in the environment, and wearable ones. The RSS measurements are used to classify a set of user's positions in the bed, monitoring the activities of the user, and thus supporting the bedsores and the sleep monitoring issues. Moreover, the proposed services are able to decrease the energy consumption by exploiting the context information coming from the proposed middleware.

Situation-Aware Ambient Assisted Living and Ambient Intelligence Data Integration for Efficient Eldercare

2013 ◽  
pp. 315-348
Author(s):  
Werner Kurschl ◽  
Mario Buchmayr ◽  
Barbara Franz ◽  
Margit Mayr
Keyword(s):  
Data Integration ◽  
Mobile Devices ◽  
Assisted Living ◽  
Data Exchange ◽  
Ambient Intelligence ◽  
Ambient Assisted Living ◽  
Healthcare Systems ◽  
Wireless Sensor ◽  
Pervasive Healthcare ◽  
Recent Developments

Pervasive healthcare systems are designed to support elderly and care-dependent people to live an independent life. Recent developments are driven by technological advances of wireless sensor networks and mobile devices, which ease their application in the health- and homecare domain. The integration into pervasive healthcare systems helps to improve the impact and the efficiency of eldercare, while keeping financial efforts at a moderate level. The importance of these issues leads to the development of systems covering situation-aware, ambient assisted living and health data exchange between care institutions and ambient assistant solutions. Various projects within the Ambient Assisted Living (AAL) domain have proven that remarkable results can be achieved by using wireless sensor technology and mobile devices for data collection, but there are still several problems concerning the exchange and integration of healthcare data. This chapter gives an overview about AAL, healthcare related standards, and state of the art approaches for data integration. In addition, best practice projects, which deal with patient-oriented care information, ambient assisted living, as well as ambient intelligence, are covered.

A26 Wireless sensor monitoring system of club velocity and attitude during a golf swing

2011 ◽  
Vol 2011 (0) ◽  
pp. 146-150 ◽  
Author(s):  
Tokio TAKAGI ◽  
Taisuke SAWADA ◽  
Ken OHTA ◽  
Hiroshi ICHIKAWA
Keyword(s):  
Monitoring System ◽  
Golf Swing ◽  
Wireless Sensor ◽  
Sensor Monitoring
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