Publication: Using accelerometer and GPS data for real-life physical activity type detection
Using accelerometer and GPS data for real-life physical activity type detection
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Allahbakhshi, H., Conrow, L., Naimi, B., & Weibel, R. (2020). Using accelerometer and GPS data for real-life physical activity type detection. Sensors, 20, 588. https://doi.org/10.3390/s20030588
Abstract
Abstract
Abstract
This paper aims to examine the role of global positioning system (GPS) sensor data in real-life physical activity (PA) type detection. Thirty-three young participants wore devices including GPS and accelerometer sensors on five body positions and performed daily PAs in two protocols, namely semi-structured and real-life. One general random forest (RF) model integrating data from all sensors and five individual RF models using data from each sensor position were trained using semi-structured (Scenario 1) and combined (semi-structured +
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- Allahbakhshi, Hoda
- Conrow, Lindsey
- Naimi, Babak
- Weibel, Robert
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Citations
Allahbakhshi, H., Conrow, L., Naimi, B., & Weibel, R. (2020). Using accelerometer and GPS data for real-life physical activity type detection. Sensors, 20, 588. https://doi.org/10.3390/s20030588
