A Service Oriented middleware for Smart Home and Ambient Assisted Living

Author(s):  
Mohd. Rozaini Bin Abd Rahim ◽  
Norsheila Fisal ◽  
Rozeha A. Rashid ◽  
Zubair Khalid
2013 ◽  
Vol 3 (2) ◽  
pp. 129-138 ◽  
Author(s):  
Willy Allègre ◽  
Thomas Burger ◽  
Jean-Yves Antoine ◽  
Pascal Berruet ◽  
Jean-Paul Departe

2013 ◽  
Vol 5 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Veeramuthu Venkatesh ◽  
V. Vaithayana ◽  
Pethuru Raj ◽  
Rengarajan Amirtharaj

Author(s):  
H. Sayuti ◽  
R. A. Rashid ◽  
N. M. Abdul Latiff ◽  
M. R. Abdul Rahim ◽  
A. H. F. Abdul Hamid ◽  
...  

This paper presents a Smart Home and Ambient Assisted Living (SHAAL) system that has been developed and tested in a real experimental home environment. SHAAL system is designed on wireless sensor network (WSN) linked to the cloud network on the Internet. The development of SHAAL is divided into two phases: the design of SHAAL network and the development of SHAAL applications. SHAAL network is made up of the home network which is the WSN, and the cloud network. The network is designed using TelG mote that operates under Zigbee technology and includes various sensor modules for SHAAL system. The cloud network consists of the gateway, the server and user devices running on third generation (3G) network. Using priority scheduling algorithm for data transmission, it is shown that the performance delay of this system on the test-bed experiment is 34.2 percent less compared to the theoretical study. The implementation of the experimental testbed has proven that SHAAL has been successfully designed and deployed in the real world.


Author(s):  
Thanos G. Stavropoulos ◽  
Georgios Meditskos ◽  
Efstratios Kontopoulos ◽  
Ioannis Kompatsiaris

DemaWare is a Service-Oriented platform that aids in the timely assessment and monitoring of people with dementia in an Ambient Assisted Living context. This work presents in detail the underlying modules integrated in DemaWare, providing both software and hardware services. The system coordinates the retrieval of raw sensor data from a variety of sources, such as ambient and wearable sensors, and their processing into a common knowledge base. The semantic interpretation performed afterwards reasons upon collected knowledge and infers higher level observations. Finally, all knowledge is presented in suitable end-user applications that support various scenarios, e.g. lab assessment trials and monitoring in nursing home environments.


2012 ◽  
Vol 10 ◽  
pp. 135-139 ◽  
Author(s):  
J. Schneider ◽  
A. Klein ◽  
C. Mannweiler ◽  
H. D. Schotten

Abstract. This paper presents an overview of state-of-the-art architectures for integrating wireless sensor and actuators networks into the Future Internet. Furthermore, we will address advantages and disadvantages of the different architectures. With respect to these criteria, we develop a new architecture overcoming these weaknesses. Our system, called Smart Home Context Management System, will be used for intelligent home utilities, appliances, and electronics and includes physical, logical as well as network context sources within one concept. It considers important aspects and requirements of modern context management systems for smart X applications: plug and play as well as plug and trust capabilities, scalability, extensibility, security, and adaptability. As such, it is able to control roller blinds, heating systems as well as learn, for example, the user's taste w.r.t. to home entertainment (music, videos, etc.). Moreover, Smart Grid applications and Ambient Assisted Living (AAL) functions are applicable. With respect to AAL, we included an Emergency Handling function. It assures that emergency calls (police, ambulance or fire department) are processed appropriately. Our concept is based on a centralized Context Broker architecture, enhanced by a distributed Context Broker system. The goal of this concept is to develop a simple, low-priced, multi-functional, and save architecture affordable for everybody. Individual components of the architecture are well tested. Implementation and testing of the architecture as a whole is in progress.


2013 ◽  
Vol 2013 ◽  
pp. 1-15 ◽  
Author(s):  
Filippo Palumbo ◽  
Paolo Barsocchi ◽  
Francesco Furfari ◽  
Erina Ferro

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.


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