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Social-aware event handling within the FallRisk project

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Abstract
Objectives: With the uprise of the Internet of Things, wearables and smartphones are moving to the foreground. Ambient Assisted Living solutions are, for example, created to facilitate ageing in place. One example of such systems are fall detection systems. Currently, there exists a wide variety of fall detection systems using different methodologies and technologies. However, these systems often do not take into account the fall handling process, which starts after a fall is identified or this process only consists of sending a notification. The FallRisk system delivers an accurate analysis of incidents occurring in the home of the older adults using several sensors and smart devices. Moreover, the input from these devices can be used to create a social aware event handling process, which leads to assisting the older adult as soon as possible and in the best possible way. Methods: The Fall Risk system consists of several components, located in different places. When an incident is identified by the FallRisk system, the event handling process will be followed to assess the fall incident and select the most appropriate caregiver, based on the input of the smartphones of the caregivers. In this process, availability and location are automatically taken into account. Results: The event handling process was evaluated during a decision tree workshop to verify if the current day practices reflect the requirements of all the stakeholders. Other knowledge, which is uncovered during this workshop can be taken into account to further improve the process. Conclusions: The FallRisk offers a way to detect fall incidents in an accurate way and uses context information to assign the incident to the most appropriate caregiver. This way, the consequences of the fall are minimized and help is at location as fast as possible. It could be concluded that the current guidelines on fall handling reflect the needs of the stakeholders. However, current technology evolutions, such as the uptake of wearables and smartphones, enables the improvement of these guidelines, such as the automatic ordering of the caregivers based on their location and availability.
Keywords
IBCN, PERVASIVE HEALTH-CARE, OLDER-ADULTS, TECHNOLOGIES, PREVENTION, FALLS, HOME

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Chicago
De Backere, Femke, Jan Van den Bergh, Sven Coppers, Shirley Elprama, Jelle Nelis, Stijn Verstichel, An Jacobs, Karin Coninx, Femke Ongenae, and Filip De Turck. 2017. “Social-aware Event Handling Within the FallRisk Project.” Methods of Information in Medicine 56 (1): 63–73.
APA
De Backere, F., Van den Bergh, J., Coppers, S., Elprama, S., Nelis, J., Verstichel, S., Jacobs, A., et al. (2017). Social-aware event handling within the FallRisk project. METHODS OF INFORMATION IN MEDICINE, 56(1), 63–73.
Vancouver
1.
De Backere F, Van den Bergh J, Coppers S, Elprama S, Nelis J, Verstichel S, et al. Social-aware event handling within the FallRisk project. METHODS OF INFORMATION IN MEDICINE. 2017;56(1):63–73.
MLA
De Backere, Femke, Jan Van den Bergh, Sven Coppers, et al. “Social-aware Event Handling Within the FallRisk Project.” METHODS OF INFORMATION IN MEDICINE 56.1 (2017): 63–73. Print.
@article{8507656,
  abstract     = {Objectives: With the uprise of the Internet of Things, wearables and smartphones are moving to the foreground. Ambient Assisted Living solutions are, for example, created to facilitate ageing in place. One example of such systems are fall detection systems. Currently, there exists a wide variety of fall detection systems using different methodologies and technologies. However, these systems often do not take into account the fall handling process, which starts after a fall is identified or this process only consists of sending a notification. The FallRisk system delivers an accurate analysis of incidents occurring in the home of the older adults using several sensors and smart devices. Moreover, the input from these devices can be used to create a social aware event handling process, which leads to assisting the older adult as soon as possible and in the best possible way. 

Methods: The Fall Risk system consists of several components, located in different places. When an incident is identified by the FallRisk system, the event handling process will be followed to assess the fall incident and select the most appropriate caregiver, based on the input of the smartphones of the caregivers. In this process, availability and location are automatically taken into account. 

Results: The event handling process was evaluated during a decision tree workshop to verify if the current day practices reflect the requirements of all the stakeholders. Other knowledge, which is uncovered during this workshop can be taken into account to further improve the process. 

Conclusions: The FallRisk offers a way to detect fall incidents in an accurate way and uses context information to assign the incident to the most appropriate caregiver. This way, the consequences of the fall are minimized and help is at location as fast as possible. It could be concluded that the current guidelines on fall handling reflect the needs of the stakeholders. However, current technology evolutions, such as the uptake of wearables and smartphones, enables the improvement of these guidelines, such as the automatic ordering of the caregivers based on their location and availability.},
  author       = {De Backere, Femke and Van den Bergh, Jan and Coppers, Sven and Elprama, Shirley and Nelis, Jelle and Verstichel, Stijn and Jacobs, An and Coninx, Karin and Ongenae, Femke and De Turck, Filip},
  issn         = {0026-1270},
  journal      = {METHODS OF INFORMATION IN MEDICINE},
  keyword      = {IBCN,PERVASIVE HEALTH-CARE,OLDER-ADULTS,TECHNOLOGIES,PREVENTION,FALLS,HOME},
  language     = {eng},
  number       = {1},
  pages        = {63--73},
  title        = {Social-aware event handling within the FallRisk project},
  url          = {http://dx.doi.org/10.3414/ME15-02-0010},
  volume       = {56},
  year         = {2017},
}

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