Title :
Accelerometer based intelligent system for human movement recognition
Author :
da Silva, Fernando Ginez ; Galeazzo, Elisabete
Author_Institution :
Dept. of Electron. Syst., Escola Politec. da Univ. de Sao Paulo, Sao Paulo, Brazil
Abstract :
This paper presents the development of a system based on computational intelligence techniques and on an accelerometer to perform, in a comfortable and non-intrusive manner, the recognition of basic movements of a person´s routine. The information provided by this system can be directed to support promoting health and well-being of the individual, as well as diagnosing and remote patient monitoring. The system provides an overall success rate in recognition of movements around 93% by using support vector machines for signal classification and Fisher´s discriminant ratio to select the most significant features.
Keywords :
accelerometers; feature extraction; graphical user interfaces; motion estimation; object recognition; patient monitoring; signal classification; support vector machines; Fisher discriminant ratio; GUI; accelerometer based intelligent system; computational intelligence techniques; human movement recognition; nonintrusive manner; person routine; remote patient monitoring; signal classification; support vector machines; Accelerometers; Biomedical monitoring; Computer architecture; Feature extraction; Monitoring; Sensors; Watches; Accelerometer; Ambient assisted living; Computational intelligence; Movement classification; Wearable sensor;
Conference_Titel :
Advances in Sensors and Interfaces (IWASI), 2013 5th IEEE International Workshop on
Conference_Location :
Bari
Print_ISBN :
978-1-4799-0039-8
DOI :
10.1109/IWASI.2013.6576063
