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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

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

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