A novel ensemble model for fall detection: leveraging CNN and BiLSTM with channel and temporal attention
Falls are a serious public health concern in a society where the elderly population is growing and requires prompt medical attention. Despite the proliferation of machine learning and deep learning algorithms for fall detection, their efficacy remains hampered by resilience, robustness, and adaptabi...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-04-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/00051144.2025.2450553 |
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