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A dataset for the development and optimization of fall detection algorithms based on wearable sensors
This paper describes a dataset acquired on 8 subjects while simulating 13 types of falls and 5 types of Activities of Daily Living (ADL), each repeated 3 times. In details, data includes 4 simulated falls forward (falling on knees ending up lying, ending in lateral position, ending up lying, ending...
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| Udgivet i: | Data Brief |
|---|---|
| Main Authors: | , , , , , |
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Elsevier
2019
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6660610/ https://ncbi.nlm.nih.gov/pubmed/31372467 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.dib.2019.103839 |
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