Cates, B.; Sim, T.; Heo, H.M.; Kim, B.; Kim, H.; Mun, J.H.
A Novel Detection Model and Its Optimal Features to Classify Falls from Low- and High-Acceleration Activities of Daily Life Using an Insole Sensor System. Sensors 2018, 18, 1227.
https://doi.org/10.3390/s18041227
AMA Style
Cates B, Sim T, Heo HM, Kim B, Kim H, Mun JH.
A Novel Detection Model and Its Optimal Features to Classify Falls from Low- and High-Acceleration Activities of Daily Life Using an Insole Sensor System. Sensors. 2018; 18(4):1227.
https://doi.org/10.3390/s18041227
Chicago/Turabian Style
Cates, Benjamin, Taeyong Sim, Hyun Mu Heo, Bori Kim, Hyunggun Kim, and Joung Hwan Mun.
2018. "A Novel Detection Model and Its Optimal Features to Classify Falls from Low- and High-Acceleration Activities of Daily Life Using an Insole Sensor System" Sensors 18, no. 4: 1227.
https://doi.org/10.3390/s18041227
APA Style
Cates, B., Sim, T., Heo, H. M., Kim, B., Kim, H., & Mun, J. H.
(2018). A Novel Detection Model and Its Optimal Features to Classify Falls from Low- and High-Acceleration Activities of Daily Life Using an Insole Sensor System. Sensors, 18(4), 1227.
https://doi.org/10.3390/s18041227