会议专题

Application of S-transform to driving fatigue in EEG analysis

Based on the fact that S-transform enjoys many obvious advantages in non-stationary signal processing, the application of S-transform was presented in EEG analysis to explore the characters of drivers EEG signals in this paper. Firstly, the result of all drivers scores from FS-14 was analyzed. Then the EEG was divided into four different driving states according to the above analysis result, which were processed by using Stransform. The study shows that the different states can be distinguished well by the time-frequency spectrums. Thus, S-transform is expected to become an effective way in detecting driving fatigue.

EEG S-transform driving fatigue

Lingmei Ai Jiaofen Nan Jun Shen

School of Computer Science Shuanxi Normal University Xian.Shaanxi 710062,China School of Computer Science Shaanxi Normal University Xian.Shaanxi 710062.China Public Security Department of Shaanxi Province Xi an, Shaanxi 710002, China

国际会议

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

厦门

英文

814-817

2010-10-29(万方平台首次上网日期,不代表论文的发表时间)