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Cited by 23Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based AnalysisDementia and Cognitive Impairment Research

A mobile-health application to detect wandering patterns of elderly people in home environment

Vuong, N. K., Goh, S. G. A., Chan, S., Lau, C. T.·2013·2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
DOI 10.1109/embc.2013.6611105
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Abstract

Wandering is a common and risky behavior in people with dementia (PWD). In this paper, we present a mobile healthcare application to detect wandering patterns in indoor settings. The application harnesses consumer electronics devices including WiFi access points and mobile phones and has been tested successfully in a home environment. Experimental results show that the mobile-health application is able to detect wandering patterns including lapping, pacing and random in real-time. Once wandering is detected, an alert message is sent using SMS (Short Message Service) to attending caregivers or physicians for further examination and timely interventions.

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Crossref · 10.1109/embc.2013.6611105

Cites

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  • Both Bluetooth and Wi-Fi signals have been widely used for indoor localization particularly for older age groups, in assisting their living quality and also the emergency response.

    “Both Bluetooth and Wi-Fi signals have been widely used for indoor localization particularly for older age groups, in assisting their living quality and also the emergency response [180,181].”

    From Human-centred artificial intelligence for mobile health sensing: challenges and opportunities (2023) · cites this paper as [181]

Cites

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Research works printed but not linked: 2

  1. siders, 2004, Evidence for implementing nonpharmacological interventions for wandering, Rehabilitation Nursing, 29, 195
  2. patterson, 2004, Opportunity knocks: A system to provide cognitive assistance with transportation systems, Ubicomp, 433

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Related

Authors
Vuong, N. K., Goh, S. G. A., Chan, S., & Lau, C. T.
Affiliations
Nanyang Technological University (SG)
ORCID
Vuong, N. K.
Venue
2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Publisher
IEEE
Published
2013-07
Volume
2013
Pages
6748-6751
ISSN
2375-7477 (ISSN-L)
DOI
10.1109/embc.2013.6611105
OpenAlex
W2034050456
Cited by
23
References
18
Citations by year
2025: 1 · 2023: 5 · 2021: 2 · 2020: 3 · 2019: 3 · 2018: 2 · 2017: 1 · 2016: 2 · 2015: 3 · 2014: 1
FWCI
1.28
Type
conference paper
Language
en
Open access
closed
Locations
  • Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
  • Social Sciences › Transportation › Human Mobility and Location-Based Analysis
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
wandering detection, dementia, older adults, mobile health apps, indoor positioning, Wi-Fi access points, mobile devices, SMS alerts, caregiver notification, home monitoring
MeSH terms
Aged, Aged, 80 and over, Alzheimer Disease, Female, Humans, Male, Monitoring, Physiologic, Patient Identification Systems, Wandering Behavior, Wireless Technology

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