Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:technology
|
| gptkbp:benefit |
Reduces response time
Saves lives Supports independent living |
| gptkbp:challenge |
Privacy concerns
False negatives False positives |
| gptkbp:dataSource |
Microphones
Motion sensors Smartphone sensors Video cameras |
| gptkbp:developedBy |
1990s
|
| gptkbp:example |
gptkb:Apple_Watch
gptkb:Samsung_Galaxy_Watch gptkb:Medical_Guardian gptkb:Philips_Lifeline gptkb:Vayyar_Home |
| https://www.w3.org/2000/01/rdf-schema#label |
Fall Detection
|
| gptkbp:improves |
Patient outcomes
Quality of care |
| gptkbp:limitation |
Environmental factors
Battery life Sensor placement User compliance |
| gptkbp:market |
Global
|
| gptkbp:method |
Computer vision
Audio analysis Accelerometer sensors Gyroscope sensors Machine learning algorithms |
| gptkbp:output |
gptkb:Notification
Alarm Emergency call |
| gptkbp:purpose |
Improve safety
Alert caregivers Detect accidental falls |
| gptkbp:relatedTo |
Remote monitoring
Aging population Activity recognition Personal emergency response systems |
| gptkbp:standardizedBy |
gptkb:ISO/IEEE_11073
|
| gptkbp:targetUser |
Elderly
People with disabilities Patients at risk of falling |
| gptkbp:usedIn |
gptkb:insurance
gptkb:Smart_home_systems Smartphones Elderly care Wearable devices |
| gptkbp:bfsParent |
gptkb:Apple_Crash_Detection_(2022)
|
| gptkbp:bfsLayer |
5
|