Performance of Activity Classification Algorithms in Free-Living Older Adults.
Purpose: The objective of this study is to compare activity type classification rates of machine learning algorithms trained on laboratory versus free-living accelerometer data in older adults. Methods: Thirty-five older adults (21 females and 14 males, 70.8 ± 4.9 yr) performed selected activities i...
| Publicado en: | Medicine & Science in Sports & Exercise Vol. 48; no. 5; pp. 941 - 951 |
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| Autores principales: | , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Lippincott Williams & Wilkins
May2016
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| Acceso en línea: | Ver este registro en EBSCOhost |