Published on in Vol 7, No 2 (2019): February
![Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data Applying Multivariate Segmentation Methods to Human Activity Recognition From Wearable Sensors’ Data](https://asset.jmir.pub/assets/559425ecc555aaaee29bab35ac31c812.png 480w,https://asset.jmir.pub/assets/559425ecc555aaaee29bab35ac31c812.png 960w,https://asset.jmir.pub/assets/559425ecc555aaaee29bab35ac31c812.png 1920w,https://asset.jmir.pub/assets/559425ecc555aaaee29bab35ac31c812.png 2500w)
1 Department of Preventive Medicine, Keck School of Medicine of University of Southern California, Los Angeles, CA, United States
2 Information Sciences Institute, University of Southern California, Los Angeles, CA, United States
3 Spatial Sciences Institute, University of Southern California, Los Angeles, CA, United States
4 Department of Radiological Sciences, University of California Los Angeles, Los Angeles, CA, United States
5 Department of Biomedical Engineering, University of California, Irvine, Irvine, CA, United States
6 Department of Computer Science, University of California Los Angeles, Los Angeles, CA, United States