2023-05-242023-05-242009-06Fuentes Brenes, D., González Abril, L., Parera Giro, J., Angulo, C. y Ortega Ramírez, J.A. (2009). Online motions recognition method using mobile phone accelerometer. En XI Jornadas de ARCA. Sistemas Cualitativos, Diagnosis, Robótica, Sistemas Domóticos y Computación Ubicua (JARCA 2009) (23-27), Almuñecar, Granada: Universidad de Sevilla.978-84-613-71-587https://hdl.handle.net/11441/146569Accelerometers can obtain data about the move­ments of sorne person. Ihe continued study of this information can help to a doctor to establish a correct diagnosis or a rehabilitation plan for a person with mobility problems. This paper focuses on a new method to implement a motion recognition process with accelerometer sensor data contained in a mobile device. Ali the steps are described, from the data collection to motion recognition through statistical study data and machine leaming algorithms. Nowadays, mobile phones have big processing ca­pacity to execute complex programs. In the last step of this process, a classification function is im­plemented in a mobile phone for online motion recognition. The practical experience showed an overall accuracy of 91 % when recognizing four activities.application/pdf5engAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de Américahttp://creativecommons.org/licenses/by-nc-nd/3.0/us/info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess