DEVELOPMENT OF WEARABLE HUMAN FALL DETECTION SYSTEM USING MULTILAYER PERCEPTRON NEURAL NETWORK
This paper presents an accurate wearable fall detection system which can identify the occurrence of falls among elderly population. A waist worn tri-axial accelerometer was used to capture the movement signals of human body. A set of laboratory-based falls and activities of daily living (ADL) were p...
Guardado en:
| Autores principales: | , , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer
2013-02-01
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| Colección: | International Journal of Computational Intelligence Systems |
| Materias: | |
| Acceso en línea: | https://www.atlantis-press.com/article/25868374.pdf |
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