Data Engineering Techniques for Efficient and Accurate Human Physical Activities Data Collection: a Summary of the State-of-the-art
Author:
Affiliation:
1. Western Caspian University,Department of Information, Computing and Technology,Baku,Azerbaijan
2. University of Tuscia,Department of Economics, Engineering, Business and Society,Viterbo,Italy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10405419/10405547/10405616.pdf?arnumber=10405616
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2. Digital Health: Tracking Physiomes and Activity Using Wearable Biosensors Reveals Useful Health-Related Information
3. Exercise recognition using tri-axial accelerometers;Giggins,2013
4. Amount of Time Spent in Sedentary Behaviors in the United States, 2003-2004
5. Physical Activity in the United States Measured by Accelerometer
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