A Community-in-the-Loop Approach to Smart Home Monitoring for Aging in Place: Mixed Methods Evaluation of a Co-Designed Prototype.
Smart home monitoring personalized through machine learning could support older adults living independently with better safety awareness.
BACKGROUND: The population of adults aged 65 and older is rapidly increasing, while the availability of caregivers is declining. Research should also explore personalization through advanced computational approaches such as machine learning and strategies to reduce digital distress.
What the study was
- Study design
- Prospective study
- Sample size
- 3698
- Category
- Diagnostics
- Maturity
- Exploratory
- Journal
- JMIR aging
Why it surfaced
Score 5/10 [PROMISING_PRELIMINARY]: Prospective study (Journal Article) matched 'Aging, longevity, and population health'. Components — novelty:2/3, relevance:1/3, design:1/2, population:1/2. Confidence: high. Conservative scoring applied per v1.3 rubric.
A plain-language summary of published research — not medical advice. Talk to a clinician about your own care.