抄録
In this paper, we present a proposed method for the real-time quantification of mental workload using the ECG signal. One unique feature of the proposed method is the so-called "relative" measure-a measure relative to individuals and tasks which the individuals perform. Another relatively new feature with the method is the application of the wavelet transform technique to extract ECG signals. Further, the artificial neural network technique, especially the competitive neural network architecture together with the clustering technique, is employed. The clustering serves for two purposes: (1) to determine the relative measure the number of levels or scales of the measure and (2) to be a part of the competitive neural network. The vehicle driving is used as an example to illustrate and validate the method.
