Reliable automatic fall detection
Bibliographic Data
| ID | 12829664 |
|---|---|
| Authors | Heribert Baldus (0000-0001-6556-4657, Philips (Netherlands), corresponding author) |
| Year | 2011 |
| Volume | 11 |
| Issue | 6 |
| Publication date | 2011-06-23 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Integrated Care (JOURNAL) |
| Journal identifiers | ISSN: 1568-4156 • E-ISSN: 1568-4156 |
| Publisher | Ubiquity Press (PUBLISHER • GB) |
| DOI | 10.5334/ijic.694 |
| OpenAlex | W1915652765 |
| Language | EN |
Introduction: Seniors are living longer and remaining in their own homes; however, falls have become an epidemic problem that jeopardizes seniors' chances to live independently. Subscribers wish there would be something that could call for help when they cannot. There are emergency response and fall detection systems, but many lack wearability, usability and reliability
Data science · Library science · Anomaly Detection Techniques and Applications · Computer Science · Context-Aware Activity Recognition Systems · Gait Recognition and Analysis
| Highly cited | No |
|---|