@inproceedings{oai:kutarr.kochi-tech.ac.jp:00000733,
 author = {Satoh, Hironobu and Takeda, Fumiaki},
 book = {Lecture Notes in Computer Science},
 month = {Oct},
 note = {Recently, smaller and more effective recognition system is required in various fields. In our previous researches, the recognition system using neural network (NN) and DSP had been developed. In some research fields, such as biometrics, the target of the system was to recognize patterns whose data varied widely because of the difference of individuals and surroundings, but its recognition ability was not enough. So the online tuning system is proposed in this paper. The proposed system, which is consisted of DSP unit and the NN continuous learning and recognition parts, is used to recognize the patterns whose data varied widely. We discuss to adjust the recognition system to data varied widely by continuous leaning. In experiment, performance of the online tuning system is checked, and we attempt to apply the system to electromyogram (EMG) pattern recognition., Knowledge-Based Intelligent Information and Engineering Systems
8th International Conference, KES 2004, Wellington, New Zealand, September 20-25, 2004, Proceedings, Part I},
 pages = {866--873},
 publisher = {Springer},
 title = {Development of DSP Unit for Online Tuning and Application to Neural Pattern Recognition System},
 volume = {3213},
 year = {2004}
}