Download presentation
Presentation is loading. Please wait.
Published byChelsea Dobry Modified over 9 years ago
1
Presented by : Bo-Yang Hou Adviser : Shih-Chung Chen Chairman : Hung-Chi Yang Date : 2012/12/19 Mervyn V.M. Yeo, Xiaoping Li, Kaiquan Shen, Einar P.V. Wilder-Smith M.V.M. Yeo et al. / Safety Science 47 (2009) 115–124 2012/12/191
2
The objective of this study is to establish an automatic method of distinguishing between alert and drowsy states by using a recently established signal pattern recognition technology to develop a reliable detection system of drowsiness for driving safety. 2012/12/192
3
3 引用於:支持向量機教學文件 ( 中文版 ) 李根逸 台灣大學通訊與多媒體實驗室
4
1. Support Vector Machines (SVM) To understand the essence of SVM classification, one needs only to grasp four basic concepts: (I) The separating hyperplane (II) The maximum-margin hyperplane (III) The soft margin (IV) The kernel function 2012/12/194
5
2. Participants The recruitment of human subjects for this study was approved by the National University of Singapore (NUS) ethical committee. The Epworth Sleepiness Scale was used to prescreen and determine the level of daytime sleepiness. 2012/12/195
6
3. EEG equipment and data collection The EEG equipment used was a 32-channel Medtronic PL-Winsor 2.35 system, with a sampling frequency of 256 Hz, an integrated low pass (cut-off frequency of 35 Hz) and a time constant of 0.30 s. Full head mapping was done using the standard 10/20 system of electrode placement (Jasper, 1958). 2012/12/196
7
The SVM program was also able to predict the transition from alertness to drowsiness reliably in over 90% of data samples. This study shows that automatic analysis and detection of drowsiness EEG is possible by SVM and SVM is a good candidate for developing pre-emptive automatic drowsiness detection systems for driving safety. 2012/12/197
8
[1] Mervyn V.M. Yeo, Xiaoping Li, Kaiquan Shen, Einar P.V. Wilder- Smith, Can SVM be used for automatic EEG detection of drowsiness during car driving?, M.V.M. Yeo et al. / Safety Science 47 (2009) 115–124 [2] William S Noble, What is a support vector machine?, NATURE BIOTECHNOLOGY VOLUME 24 NUMBER 12 DECEMBER 2006 1565-1567 [3] Kristin P.Bennett & Colin Campbell,Support Vector Machines: Hype or hallelujh?,SIGKDD Explorations.Copyright ©2000ACM SIGKDD,December2000,Volune 2,Issue – page13 [4] 支持向量機教學文件 ( 中文版 ) 李根逸 台灣大學通訊與多 媒體實驗室 [5] 勞工安全衛生研究所, 認識睡眠呼吸中止症, http://www.iosh.gov.tw/Print.aspx?cnid=12&P=528 2012/12/198
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.