Electrocardiogram based classifier for driver drowsiness detection
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Title of host publication | Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015 |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. |
| Pages | 600-603 |
| ISBN (print) | 9781479966493 |
| Publication status | Published - 28 Sept 2015 |
Conference
| Title | 13th International Conference on Industrial Informatics (INDIN 2015) |
|---|---|
| Location | Robinson College |
| Place | United Kingdom |
| City | Cambridge |
| Period | 22 - 24 July 2015 |
Link(s)
Abstract
Driver drowsiness may cause traffic injuries and death. In literature, various methods, for instance, image-based, vehicle-based, and biometric-signals-based, have been proposed for driver drowsiness detection. In this paper, a new approach using Electrocardiogram is discussed. Performance evaluation is carried out for the driver drowsiness classifier. The developed classifier yields overall accuracy, sensitivity, and specificity of 76.93%, 77.36%, and 76.5% respectively. Results have revealed that the performance of proposed classifier is better than traditional methods.
Research Area(s)
- drowsiness detection, electrocardiogram, machine learning, support vector machine, transportation
Citation Format(s)
Electrocardiogram based classifier for driver drowsiness detection. / Chui, Kwok Tai; Tsang, Kim Fung; Chi, Hao Ran et al.
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015. Institute of Electrical and Electronics Engineers, Inc., 2015. p. 600-603 7281802.
Proceeding - 2015 IEEE International Conference on Industrial Informatics, INDIN 2015. Institute of Electrical and Electronics Engineers, Inc., 2015. p. 600-603 7281802.
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
