An Effective Approach for Realtime Drowsy Driving Prediction Based on Quantized Haar Features and Machine Learning

Computer Science

1. Android Application 15%
2. Artificial Intelligence 7%
3. Artificial Neural Network 7%
4. Behavioral Change 7%
5. Brain Activity 7%
6. Broad Category 7%
7. Communication Network 7%
8. Computer Vision 23%
9. Coping Strategy 7%
10. Deep Learning Method 23%
11. Deep Neural Network 23%
12. Detection Accuracy 15%
13. Detection Method 23%
14. Detection Performance 7%
15. Driving Behavior 7%
16. Drowsiness Detection 100%
17. Effective Approach 100%
18. Embedded System 7%
19. Emerging Technology 7%
20. Evaluation Metric 15%
21. Expected Outcome 7%
22. Face Detection 7%
23. Facial Feature 23%
24. Feature Extraction 15%
25. Feature Vector 23%
26. Features Detection 15%
27. Genetic Algorithm 15%
28. Gradient Boosting 7%
29. Image Processing Method 7%
30. Intelligent Transportation System 15%
31. Learning System 100%
32. Machine Learning 100%
33. Machine Learning Algorithm 15%
34. Machine Learning Technique 23%
35. Machine Learning-Based Approach 7%
36. Microprocessor Chips 7%
37. Network Structure 7%
38. Neural Network 61%
39. Object Recognition 7%
40. Optimization Problem 7%
41. Recurrent Neural Network 7%
42. Representation Learning 7%
43. Research Paper 7%
44. segmentation algorithm 23%
45. Semisupervised Learning 7%
46. Supervised Learning 7%
47. Support Vector Machine 38%
48. Telecommunication 7%
49. Texture Segmentation 15%
50. Traffic Control 7%
51. Training Dataset 15%
52. Transfer Learning 7%
53. United States of America 15%
54. Video Sequences 7%