Generating Bayesian Network Structures for Self-diagnosis of Sensor Networks in the Context of Ambient Assisted Living for Aging Well

2017 ◽  
pp. 198-210
Author(s):  
Camila Helena Souza Oliveira ◽  
Sylvain Giroux ◽  
Hubert Ngankam ◽  
Hélène Pigot
Keyword(s):  
Sensor Networks ◽  
Bayesian Network ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Network Structures ◽  
Aging Well

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 Wireless Sensor Networks for Ambient Assisted Living

Sensors ◽  
2013 ◽  
Vol 13 (12) ◽  
pp. 16384-16405 ◽  
Author(s):  
Raúl Aquino-Santos ◽  
Diego Martinez-Castro ◽  
Arthur Edwards-Block ◽  
Andrés Murillo-Piedrahita
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Wireless Sensor

Ambient Assisted Living Systems: The Scope of Research and Development

2017 ◽  
Vol 3 (2) ◽  
pp. 21
Author(s):  
Ashish D Patel ◽  
Jigarkumar H. Shah
Keyword(s):  
Assisted Living ◽  
Independent Living ◽  
Intelligent Systems ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
Smart Devices ◽  
Economic Changes ◽  
Aged Population ◽  
The People ◽  
Living Person

The aged population of the world is increasing by a large factor due to the availability of medical and other facilities. As the number grows rapidly, requirements of this segment of age (65+) are increasing rapidly as well as the percentage of aged persons living alone is also increasing with the same rate due to the inevitable socio-economic changes. This situation demands the solution of many problems like loneliness, chronic conditions, social interaction, transportation, day-to-day life and many more for independent living person. A large part of aged population may not be able to interact directly with new technologies. This sought some serious development towards the use of intelligent systems i.e. smart devices which helps the people with their inability to use the available as well future solutions. Ambient Assisted Living (AAL) is the answer to these problems. In this paper, issues related to AAL systems are studied. Study of challenges and limitations of this comparatively new field will help the designers to remove the barriers of AAL systems.

scholarly journals Contactless Interactive Fall Detection and Sleep Quality Estimation for Supporting Elderly with Incipient Dementia

2020 ◽  
Vol 6 (3) ◽  
pp. 388-391
Author(s):  
Roman Siedel ◽  
Tobias Scheck ◽  
Ana C. Perez Grassi ◽  
Julian B. Seuffert ◽  
André Apitzsch ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Assisted Living ◽  
Ambient Assisted Living ◽  
Fall Detection ◽  
Quality Estimation ◽  
Emergency Situations ◽  
People With Dementia ◽  
Affected Person ◽  
Development State ◽  
Current Behaviour

AbstractIn recent years, the demographic change in conjunction with a lack of professional caregivers led to retirement homes reaching capacity. The Alzheimer Disease International stated that over 50 million people suffered from dementia in 2019 worldwide and twice the amount will presumably be effected in 2030. The field of Ambient Assisted Living (AAL) tackles this problem by facilitating technical system-aided everyday life. AUXILIA is such an AAL system and does not only support elderly people with dementia in an early phase, but also monitors their activities to provide behaviour analysis results for care attendants, relatives and physicians. Moreover, the system is capable of recognizing emergency situations like human falls. Furthermore, sleep quality estimation is employed to be able to draw conclusions about the current behaviour of an affected person. This article presents the current development state of AUXILIA.

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