Human activity recognition using machine learning methods in a smart healthcare environment

Author:

Subasi Abdulhamit,Khateeb Kholoud,Brahimi Tayeb,Sarirete Akila

Publisher

Elsevier

Reference59 articles.

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2. Anguita, D., Ghio, A., Oneto, L., Parra, X., & Reyes-Ortiz, J. L. (2013). A public domain dataset for human activity recognition using smartphones. Presented at the ESANN.

3. Better physical activity classification using smartphone acceleration sensor;Arif;Journal of Medical Systems,2014

4. Avci, A., Bosch, S., Marin-Perianu, M., Marin-Perianu, R., & Havinga, P. (2010). Activity recognition using inertial sensing for healthcare, wellbeing and sports applications: A survey. In Presented at the architecture of computing systems (ARCS), 2010 23rd international conference on, VDE, pp. 1–10.

5. mHealthDroid: A novel framework for agile development of mobile health applications;Banos,2014

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