Smart carpet: developing a sensor system to detect falls and summon assistance
Abstract
Cognitive deficits experienced by older adults with dementia limit use of wearable devices (necklaces or bracelets) that summon assistance after the older adult falls. To use these wearable devices, older adults must choose to wear them, remember how to use them, and be conscious after falling. Devices such as the Smart Carpet substitute pre-programmed or automatic functions for functions requiring deliberation and decision. After development of a Smart Carpet prototype, 11 volunteers participated in tests to measure sensitivity of sensors embedded in the Smart Carpet. The embedded sensors were not perceptible to the volunteers as they walked across the Smart Carpet and successfully detected gait characteristics. Findings confirmed the feasibility of fall detection. Measurements obtained of gait characteristics will be used in development of more advanced versions of the Smart Carpet.
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Among non-wearable systems, cameras, motion sensors, microphones and floor sensors have been applied to fall monitoring and prevention.
“Among non-wearable systems cameras, motion sensors, microphones and floor sensors have been applied to this aim (280, 281).”
From The Multidisciplinary Approach to Alzheimer’s Disease and Dementia. A Narrative Review of Non-Pharmacological Treatment (2018) · cites this paper as [280]
Cites
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Wearing and Using Personal Emergency
Porter, E. J. (2005) · Journal of Gerontological Nursing · doi:10.3928/0098-9134-20051001-07 · Cited by 59 · see citing works
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Self-citation(2003) · PubMed
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Zucchella, C., Sinforiani, E., Tamburin, S., Federico, A., Mantovani, E., Bernini, S., Casale, R., & Bartolo, M. (2018) · Frontiers in Neurology · doi:10.3389/fneur.2018.01058 · Cited by 297 · see citing works
“Among non-wearable systems cameras, motion sensors, microphones and floor sensors have been applied to this aim (280, 281).”
MethodFall Detection Devices and Their Use With Older Adults: A Systematic Review
Chaudhuri, S., Thompson, H., & Demiris, G. (2014) · Journal of Geriatric Physical Therapy · doi:10.1519/jpt.0b013e3182abe779 · Cited by 215 · see citing works
- Authors
- Aud, M. A., Abbott, C. C., Tyrer, H. W., Neelgund, R. V., Shriniwar, U. G., Mohammed, A., & Devarakonda, K. K.
- Affiliations
- University of Missouri (US)
- Venue
- Journal of Gerontological Nursing
- Publisher
- SLACK, Inc.
- Published
- 2010-07
- Volume
- 36
- Issue
- 7
- Pages
- 8-12
- ISSN
- 0098-9134 (ISSN-L)
- 1938-243X
- OpenAlex
- W160636370
- Cited by
- 28
- References
- 5
- Citations by year
- 2026: 1 · 2023: 2 · 2021: 1 · 2020: 2 · 2018: 3 · 2017: 4 · 2016: 4 · 2015: 2 · 2014: 3 · 2013: 1 · 2012: 4
- FWCI
- 1.86
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Gerontological Nursing (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Social Sciences › Demography › Technology Use by Older Adults
- Keywords
- fall detection, dementia, older adults, wearable devices, embedded sensors, gait parameters, assistive technology, cognitive impairment
- MeSH terms
- Accidental Falls, Adult, Aged, Dementia, Equipment Design, Feasibility Studies, Floors and Floorcoverings, Gait, Humans, Middle Aged, Telemetry
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