This project is related to a paper presented during Sensors Applications Symposium 2015, in Zadar (Croatia). http://sensorapps.org/ All the researchers involved are from Università Politecnica delle Marche (DII). http://www.dii.univpm.it/
Reference: "SVM-Based Fall Detection Method for Elderly People Using Android Low-Cost Smartphones." L. Pernini, A. Belli, L. Palma, S. Valenti, M. Paniccia, P. Pierleoni. IEEE SAS2015
The application implements a fall detection algorithm using accelerometer and magnetometer. The algorithm is based on the Support Vector Machine method, and use the libsvm library (http://www.csie.ntu.edu.tw/~cjlin/libsvm/)
Thanks to WiSense srl. http://www.wisense.it
For documentations and explanations read comments over java code.