Technical insights into vision-based fall detection systems
Performances, challenges, and constraints
Datos Bibliográficos
| ID | 20398906 |
|---|---|
| Autores | Anitha Rani Inturi (0000-0002-2059-3953, SRM University, Andhra Pradesh), V M Manikandan (0000-0001-6903-7563, SRM University, Andhra Pradesh, autor de correspondencia), Yu‐Chen Hu (0000-0002-5055-3645, Providence University), Yu-Chen Hu |
| Año | 2025 |
| Volumen | 40 |
| Número | 8 |
| Páginas | 6683-6695 |
| Fecha de publicación | 2025-12-01 |
| Open Access | Sí |
| Tipo | ARTICLE |
| Revista | AI & Society (JOURNAL) |
| Identificadores de la revista | ISSN: 0951-5666 • E-ISSN: 1435-5655 |
| Editorial | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s00146-025-02395-7 |
| OpenAlex | W4410719323 |
| Idioma | EN |
| Referencias citadas | 82 |
Art · Computer vision · Human–computer interaction · Performing arts · Visual arts · Anomaly Detection Techniques and Applications · Computer Science · Fire Detection and Safety Systems · Video Surveillance and Tracking Methods · Artificial Intelligence
| Altamente citado | No |
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