How do modern fall detection sensors differentiate between normal sudden movements and actual falls, and what false-positive rates should families expect from devices like the Lively mobile?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do modern fall detection sensors differentiate between normal sudden movements and actual falls, and what false-positive rates should families expect from devices like the Lively mobile?
3 real searches · 1 real-search pass
Lively Mobile Plus fall detection false alarms false positive rate fall detection technology accuracyGoogle ↗
OBSERVEDReason
wearable automatic fall detection devices false positive rate real world study false alarms per day sensitivity specificity older adultsGoogle ↗
OBSERVEDReason
Lively Mobile fall detection user guide automatic fall detection limitations fall detection rateGoogle ↗
OBSERVEDInstruction
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
Lively Mobile Plus fall detection false alarms false positive rate fall detection technology accuracy Google ↗
wearable automatic fall detection devices false positive rate real world study false alarms per day sensitivity specificity older adults Google ↗
Lively Mobile fall detection user guide automatic fall detection limitations fall detection rate Google ↗
- Lively Mobile2 · shop.lively.com
- How Fall Detection Works · assets.ctfassets.net
- Fall Detection for Seniors · shop.lively.com
- Fall Detection · shop.lively.com
- Welcome to Lively · assets.ctfassets.net
- Real World Accuracy and Use of a Wearable Fall Detection Device by Older Adults · pmc.ncbi.nlm.nih.gov
- Sensitivity and false alarm rate of a fall sensor in long-term fall detection in the elderly · pubmed.ncbi.nlm.nih.gov
- Validation of accuracy of SVM-based fall detection system using real-world fall and non-fall datasets · pmc.ncbi.nlm.nih.gov
- Optimization and Technical Validation of the AIDE-MOI Fall Detection Algorithm in a Real-Life Setting with Older Adults · pmc.ncbi.nlm.nih.gov
- JMIR mHealth and uHealth - Real-World Accuracy of Wearable Activity Trackers for Detecting Medical Conditions: Systematic Review and Meta-Analysis · mhealth.jmir.org
- Fall Detect Tech Note.pdf · inovonics.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Lively Mobile Plus fall detection false alarms false positive rate fall detection technology accuracy OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
wearable automatic fall detection devices false positive rate real world study false alarms per day sensitivity specificity older adults OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Lively Mobile fall detection user guide automatic fall detection limitations fall detection rate OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |