A framework for the assessment of wandering behavior

Toutountzi, Theodora; Phan, Scott; Makedon, Fillia

doi:10.1145/2769493.2769577

Cited by 4 publications

(5 citation statements)

References 6 publications

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“…With an aim to detect if patient is leaving bed, Masuda et al [25] integrated a system composed of a mat-shaped step sensor which, if stepped on, gets activated, triggers an illumination system around the area, and sends out signal to a wandering alarm component. This [26] No No No -- [23] Clinical trial yes yes Control group experiment, 55 residence Not reported [22] User study yes yes System testing, Detect scenarios Detection rate 95% [27] Clinical Trial yes yes -- [28] No…”

Section: Late Hour Wandering Detectionmentioning

confidence: 99%

“…Based on the wandering activities listed in Algase Wandering Scale (AWS) [29], a framework for predicting wandering behavior in indoor environment is proposed by Toutountzi et al [28]. They propose to employ an assortment of sensors (Step counter, heart-rate sensor, door sensor, 3d-depth camera) to collect and compile data to detect some of the factors stated in AWS, such as increased aimless and repetitive walking or decreased sleep time.…”

Section: Prediction Frameworkmentioning

confidence: 99%

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A Survey on Wandering Behavior Management Systems for Individuals with Dementia

Hassan

Khan²

2019

ijacsa

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Alzheimer's and related dementia are associated with a gradual decline in cognitive abilities of an individual, impairing independent living abilities. Wandering, a purposeless disoriented locomotion tendency or behavior of dementia patients, requires constant caregiver supervision to reduce the risk of physical harm to patients. Integrating technology into care ecology has the potential to alleviate stress and expense. An automatic wandering detection system integrated with an intervention module may provide warnings and assistive suggestions in times of abnormal behavior. In this study, we survey existing research on technology aided methodologies and algorithms used in detection and management of wandering behavior of individuals affected with dementia. Our study provides insights into mechanisms of collecting movement data and finding patterns that distinguish wandering from normal behavior.

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Section: Late Hour Wandering Detectionmentioning

confidence: 99%

Section: Prediction Frameworkmentioning

confidence: 99%

A Survey on Wandering Behavior Management Systems for Individuals with Dementia

Hassan

Khan²

2019

ijacsa

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“…Wrist Worn Activity Monitor [11], [12], [15] Algase Wandering Scale [15] Wandering Behaviour Framework [15] Wrist worn devices can provide constant activity monitoring.…”

Section: Wanderingmentioning

confidence: 99%

“…Step Counter [15] Cycles Algorithm [16] Endomondo [11], [12] Step sensors could determine wandering based on a constant increase of steps.…”

Section: Wanderingmentioning

confidence: 99%

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Internet of Things Enabled Technologies for Behaviour Analytics in Elderly Person Care: A Survey

Newcombe

Yang

Carter

et al. 2017

2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and I

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The advances in sensor technology over recent years has provided new ways for researchers to monitor the elderly in uncontrolled environments. Sensors have become smaller, cheaper and can be worn on the body, potentially creating a network of sensors. Smart phones are also more common in the average household and can also provide some behavioural analysis due to the built in sensors. As a result of this, researchers are able to monitor behaviours in a more natural setting, which can lead to more useful data. This is important for those that may be suffering from mental illness as it allows for continuous, non-invasive monitoring in order to diagnose symptoms from different behaviours. However there are various challenges that need to be addressed ranging from issues with sensors to the involvement of human factors. It is vital that these challenges are taken into consideration along with the major behavioural symptoms that can appear in an Elderly Person. For a person suffering with Dementia, the application of sensor technologies can improve the quality of life of the person and also monitor the progress of the disease through behavioural analysis. This paper will consider the behaviours that can be associated with dementia and how these behaviours can be monitored through sensor technology. We will also provide an insight into some sensors and algorithms gathered through survey in order to provide advantages and disadvantages of these technologies as well as to present any challenges that may face future research.

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