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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.


Related in: MedlinePlus

Visualization of activity monitoring; (a) Time spent (minutes per hour for a selected day) on bed; (b) toilet flush activation occurrences per day.
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sensors-15-14487-f006: Visualization of activity monitoring; (a) Time spent (minutes per hour for a selected day) on bed; (b) toilet flush activation occurrences per day.

Mentions: Furthermore, we have developed web (PHP) software that allows remote monitoring of elderly residents via a standard web interface [39] (The database maintains activity statistics for the period 9 July to 26 October 2014.). This software undertakes the storage and management of sensory data in a MySQL database, exports statistics and creates dynamic graphs. Authorized end-users (typically, caregivers) are allowed to view current and historical data about: temperature, humidity and light level values; activity (presence, laying on bed, standing next to bed, sitting on chairs); number of activations for electric appliances (oven, microwave oven, toaster, kettle, fridge); usage of faucets, the drugs cabinet, the flush and the actuator; batteries voltage level (only for battery-operated nodes); triggered alarms (due to fall/panic incidents and node failures). The user may also remotely control the actuator node, for instance switch on/off an electric fan. Figure 6 illustrates examples of activity monitoring visualization.


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

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

Visualization of activity monitoring; (a) Time spent (minutes per hour for a selected day) on bed; (b) toilet flush activation occurrences per day.
© Copyright Policy
Related In: Results  -  Collection

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

sensors-15-14487-f006: Visualization of activity monitoring; (a) Time spent (minutes per hour for a selected day) on bed; (b) toilet flush activation occurrences per day.
Mentions: Furthermore, we have developed web (PHP) software that allows remote monitoring of elderly residents via a standard web interface [39] (The database maintains activity statistics for the period 9 July to 26 October 2014.). This software undertakes the storage and management of sensory data in a MySQL database, exports statistics and creates dynamic graphs. Authorized end-users (typically, caregivers) are allowed to view current and historical data about: temperature, humidity and light level values; activity (presence, laying on bed, standing next to bed, sitting on chairs); number of activations for electric appliances (oven, microwave oven, toaster, kettle, fridge); usage of faucets, the drugs cabinet, the flush and the actuator; batteries voltage level (only for battery-operated nodes); triggered alarms (due to fall/panic incidents and node failures). The user may also remotely control the actuator node, for instance switch on/off an electric fan. Figure 6 illustrates examples of activity monitoring visualization.

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.


Related in: MedlinePlus