Name
Abstract | ||
|---|---|---|
This paper introduces the design idea and hardware and software realization of a smart safety monitoring system for vehicles, in order to satisfy drivers' driving, and health and safety needs. This system collects and analyses driver's behavior inter-dimensionally through multiple sensors placed on the car and the smart band which the driver wears. It detects drunk and fatigue driving, heart rate, blood pressure, body temperature, etc. The experiments show that this system works fairly well in preventing driving hazards and in monitoring the driver's health. The system's effectiveness and reliability in real-time are demonstrated. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3289430.3289467 | BDIOT 2018: PROCEEDINGS OF THE 2018 2ND INTERNATIONAL CONFERENCE ON BIG DATA AND INTERNET OF THINGS |
Keywords | Field | DocType |
Smart Safety Monitoring System for Vehicle,Fatigue Driving Detection,Eye Detection | Automotive engineering,Computer science,Software,Safety monitoring,Occupational safety and health,Eye detection,Multiple sensors | Conference |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xin Shen | 1 | 87 | 12.22 |
| Jun-Yan Chen | 2 | 0 | 0.34 |
| Xiao-Chun Lei | 3 | 0 | 0.34 |
| Long Huang | 4 | 0 | 2.03 |
| Long-Sheng Wu | 5 | 0 | 0.34 |
| Wen-Qiang Yin | 6 | 0 | 0.34 |