Abstract
With the recent development of IoT technology, it has become possible to obtain desired sensor data without time and space limitations. It has also become possible to easily interpret data and obtain useful information with the development of deep learning. In this study, we developed an IoT system that estimates the driver's posture through the use of wearable sensors and deep learning-based image processing techniques for vehicle crash analysis.
| Original language | English |
|---|---|
| Pages (from-to) | 991-998 |
| Number of pages | 8 |
| Journal | Transactions of the Korean Society of Automotive Engineers |
| Volume | 30 |
| Issue number | 12 |
| DOIs | |
| State | Published - 2022 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Bluetooth low energy
- Computer vision
- Driver pose estimation
- Embedded system
- Internet of things
- Sensor fusion
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