A smart home application to eldercare: current status and lessons learned.
about
Testing a theory-based mobility monitoring protocol using in-home sensors: a feasibility studyAn early illness recognition framework using a temporal Smith Waterman algorithm and NLPAutomated Health Alerts Using In-Home Sensor Data for Embedded Health AssessmentNighttime restfulness during daytime dance therapy: an exploratory study using bed sensors.Assessing older adults' perceptions of sensor data and designing visual displays for ambient environments. An exploratory study.Passive sensor technology interface to assess elder activity in independent livingGenerating sensor data summaries to communicate change in elders' health status.Refinement and evaluation of a hydraulic bed sensor.OpenSHS: Open Smart Home Simulator.Predicting disease risks from highly imbalanced data using random forestUnobtrusive in-home detection of time spent out-of-home with applications to loneliness and physical activity.Automated fall detection with quality improvement "rewind" to reduce falls in hospital roomsA regional assessment of information technology sophistication in Missouri nursing homes.On the Disambiguation of Passively Measured In-home Gait Velocities from Multi-person Smart HomesRegularity and predictability of human mobility in personal space.Evolution of an Early Illness Warning System to Monitor Frail Elders in Independent Living.A New Paradigm of Technology-Enabled ‘Vital Signs’ for Early Detection of Health Change for Older Adults.Simulation of Smart Home Activity DatasetsMeasuring changes in activity patterns during a norovirus epidemic at a retirement community.Retirement community residents' physical activity, depressive symptoms, and functional limitations.Evaluation of health alerts from an early illness warning system in independent livingFraming the evidence for health smart homes and home-based consumer health technologies as a public health intervention for independent aging: a systematic review.A Smart-Home System to Unobtrusively and Continuously Assess Loneliness in Older Adults.Toward a passive low-cost in-home gait assessment system for older adults.Older adults and mobile phones for health: a review.SVM to detect the presence of visitors in a smart home environment.Using Embedded Sensors in Independent Living to Predict Gait Changes and Falls.Active subjects of passive monitoring: responses to a passive monitoring system in low-income independent living.Health management and pattern analysis of daily living activities of people with dementia using in-home sensors and machine learning techniques.Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
P2860
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P2860
A smart home application to eldercare: current status and lessons learned.
description
2009 nî lūn-bûn
@nan
2009年の論文
@ja
2009年学术文章
@wuu
2009年学术文章
@zh-cn
2009年学术文章
@zh-hans
2009年学术文章
@zh-my
2009年学术文章
@zh-sg
2009年學術文章
@yue
2009年學術文章
@zh
2009年學術文章
@zh-hant
name
A smart home application to eldercare: current status and lessons learned.
@en
A smart home application to eldercare: current status and lessons learned.
@nl
type
label
A smart home application to eldercare: current status and lessons learned.
@en
A smart home application to eldercare: current status and lessons learned.
@nl
prefLabel
A smart home application to eldercare: current status and lessons learned.
@en
A smart home application to eldercare: current status and lessons learned.
@nl
P50
P356
P1476
A smart home application to eldercare: current status and lessons learned.
@en
P2093
James Keller
Mihail Popescu
P304
P356
10.3233/THC-2009-0551
P577
2009-01-01T00:00:00Z