Title :
Fuzzified Neural Network Based Human Physical Condition Monitoring Using MEMS Based Monitoring Devices
Author :
Nii, Manabu ; Kakiuchi, Yohei ; Hayashi, Teruaki ; Takahama, Kazunobu ; Yumoto, Takayuki
Author_Institution :
Grad. Sch. of Eng., Univ. of Hyogo, Himeji, Japan
Abstract :
In order to understand our physical condition, we need to record the detail of physical condition data like the heart rate. However, for understanding such data, additional information such as what the subject is doing at that time is needed. We propose a combined system which consists of a fuzzified neural network based unusual condition detection and a standard neural network based action estimation. From experimental results, the effectiveness of our proposed system is shown for understanding our conditions.
Keywords :
electrocardiography; fuzzy neural nets; micromechanical devices; patient monitoring; MEMS-based monitoring devices; electrocardiography; fuzzified neural network-based human physical condition monitoring; fuzzified neural network-based unusual condition detection; heart rate; physical condition data recording; standard neural network-based action estimation; Acceleration; Condition monitoring; Estimation; Monitoring; Neural networks; Sensors; Training; Fuzzified neural networks; MEMS; physical condition monitoring;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
Conference_Location :
Manchester
DOI :
10.1109/SMC.2013.367