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Hands-On Experiences in Deploying Cost-Effective Ambient-Assisted Living Systems.

Dasios A, Gavalas D, Pantziou G, Konstantopoulos C - Sensors (Basel) (2015)

Bottom Line: Older adults' preferences to remain independent in their own homes along with the high costs of nursing home care have motivated the development of Ambient Assisted Living (AAL) technologies which aim at improving the safety, health conditions and wellness of the elderly.Upon detecting significant deviations from the ordinary activity patterns of individuals and/or sudden falls, the system issues automated alarms which may be forwarded to authorized caregivers via a variety of communication channels.Furthermore, measured environmental parameters and activity incidents may be monitored through standard web interfaces.

View Article: PubMed Central - PubMed

Affiliation: School of Science and Technology, Hellenic Open University, Patras GR-26335, Greece. thand79@gmail.com.

ABSTRACT
Older adults' preferences to remain independent in their own homes along with the high costs of nursing home care have motivated the development of Ambient Assisted Living (AAL) technologies which aim at improving the safety, health conditions and wellness of the elderly. This paper reports hands-on experiences in designing, implementing and operating UbiCare, an AAL based prototype system for elderly home care monitoring. The monitoring is based on the recording of environmental parameters like temperature and light intensity as well as micro-level incidents which allows one to infer daily activities like moving, sitting, sleeping, usage of electrical appliances and plumbing components. The prototype is built upon inexpensive, off-the-shelf hardware (e.g., various sensors, Arduino microcontrollers, ZigBee-compatible wireless communication modules) and license-free software, thereby ensuring low system deployment costs. The network comprises nodes placed in a house's main rooms or mounted on furniture, one wearable node, one actuator node and a centralized processing element (coordinator). Upon detecting significant deviations from the ordinary activity patterns of individuals and/or sudden falls, the system issues automated alarms which may be forwarded to authorized caregivers via a variety of communication channels. Furthermore, measured environmental parameters and activity incidents may be monitored through standard web interfaces.

No MeSH data available.


(a) The bathroom node; (b) the bedroom node; (c) the kitchen node; (d) magnetic contact switch mounted on the fridge; (e) the living room node; (f) the dining table chair’s force sensing resistor and node; (g) the wearable node; (h) the coordinator node.
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sensors-15-14487-f003: (a) The bathroom node; (b) the bedroom node; (c) the kitchen node; (d) magnetic contact switch mounted on the fridge; (e) the living room node; (f) the dining table chair’s force sensing resistor and node; (g) the wearable node; (h) the coordinator node.

Mentions: The wireless communication among the nodes and the processing element is undertaken by low-range, ZigBee-compatible XBee RF modules. ZigBee modules are available at lower cost, while also reducing power consumption (therefore, energy requirements) compared to alternative wireless technologies. Moreover, ZigBee supports mesh networks, low duty cycle, low latency communication and 128-bit security. Figure 3 shows pictures of representative UbiCare nodes and sensors.


Hands-On Experiences in Deploying Cost-Effective Ambient-Assisted Living Systems.

Dasios A, Gavalas D, Pantziou G, Konstantopoulos C - Sensors (Basel) (2015)

(a) The bathroom node; (b) the bedroom node; (c) the kitchen node; (d) magnetic contact switch mounted on the fridge; (e) the living room node; (f) the dining table chair’s force sensing resistor and node; (g) the wearable node; (h) the coordinator node.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507647&req=5

sensors-15-14487-f003: (a) The bathroom node; (b) the bedroom node; (c) the kitchen node; (d) magnetic contact switch mounted on the fridge; (e) the living room node; (f) the dining table chair’s force sensing resistor and node; (g) the wearable node; (h) the coordinator node.
Mentions: The wireless communication among the nodes and the processing element is undertaken by low-range, ZigBee-compatible XBee RF modules. ZigBee modules are available at lower cost, while also reducing power consumption (therefore, energy requirements) compared to alternative wireless technologies. Moreover, ZigBee supports mesh networks, low duty cycle, low latency communication and 128-bit security. Figure 3 shows pictures of representative UbiCare nodes and sensors.

Bottom Line: Older adults' preferences to remain independent in their own homes along with the high costs of nursing home care have motivated the development of Ambient Assisted Living (AAL) technologies which aim at improving the safety, health conditions and wellness of the elderly.Upon detecting significant deviations from the ordinary activity patterns of individuals and/or sudden falls, the system issues automated alarms which may be forwarded to authorized caregivers via a variety of communication channels.Furthermore, measured environmental parameters and activity incidents may be monitored through standard web interfaces.

View Article: PubMed Central - PubMed

Affiliation: School of Science and Technology, Hellenic Open University, Patras GR-26335, Greece. thand79@gmail.com.

ABSTRACT
Older adults' preferences to remain independent in their own homes along with the high costs of nursing home care have motivated the development of Ambient Assisted Living (AAL) technologies which aim at improving the safety, health conditions and wellness of the elderly. This paper reports hands-on experiences in designing, implementing and operating UbiCare, an AAL based prototype system for elderly home care monitoring. The monitoring is based on the recording of environmental parameters like temperature and light intensity as well as micro-level incidents which allows one to infer daily activities like moving, sitting, sleeping, usage of electrical appliances and plumbing components. The prototype is built upon inexpensive, off-the-shelf hardware (e.g., various sensors, Arduino microcontrollers, ZigBee-compatible wireless communication modules) and license-free software, thereby ensuring low system deployment costs. The network comprises nodes placed in a house's main rooms or mounted on furniture, one wearable node, one actuator node and a centralized processing element (coordinator). Upon detecting significant deviations from the ordinary activity patterns of individuals and/or sudden falls, the system issues automated alarms which may be forwarded to authorized caregivers via a variety of communication channels. Furthermore, measured environmental parameters and activity incidents may be monitored through standard web interfaces.

No MeSH data available.