| Autor: |
Deok-Ju Jang, Ho-Rim Choi, Nak-Bum Lee, Mun-Ho Ryu, Yoonseok Yang |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
International Journal of Control and Automation. 6:209-218 |
| ISSN: |
2005-4297 |
| DOI: |
10.14257/ijca.2013.6.6.20 |
| Popis: |
This study represents research on falls while riding bicycles. We present an algorithm that detects the occurrence and direction of falls during bicycle riding through the use of a sensor module installed on the helmet. The sensor module is equipped with a tri-axial accelerometer, tri-axial gyroscope, and tri-axial magnetometer to record acceleration and tilt signals. We determine the threshold of the algorithm for fall detection based on experiments of riding over speed bumps and performing warm-up exercise motions prior to riding a bicycle. The algorithm we developed achieved 98% accuracy in fall detection and 98.5% accuracy in detection of fall direction. This study performed simulations indoors for the sake of subjects’ safety; however, we expect to produce the research in an environment more similar to reallife situations. In future, it is also possible that the developed system will be applied to an emergency reporting system for bicycle falls. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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