Abstract
According to World Health Organization, worldwide, every year, more than 12 million people are killed in accidents and more than 500 million people are injured. In this research work, we have designed a context aware wireless sensor system to detect and locate road accidents in real-time. Context acquisition is performed using onboard sensors such as accelerometer, gyroscope, flex sensor and sensors from Smartphone such as accelerometer, microphone, GPS etc. A learning algorithm is proposed to perform context modeling, inference, and context-based action initiation. Participatory sensing techniques are integrated with the proposed system to ensure system enhancement and reduce false alarms.
| Original language | English |
|---|---|
| Title of host publication | 2013 10th International Conference on Wireless and Optical Communications Networks, WOCN 2013 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 10th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2013 - Bhopal, Madhya Pradesh, India Duration: 26 Jul 2013 → 28 Jul 2013 |
Publication series
| Name | IFIP International Conference on Wireless and Optical Communications Networks, WOCN |
|---|---|
| ISSN (Print) | 2151-7681 |
| ISSN (Electronic) | 2151-7703 |
Conference
| Conference | 10th IEEE and IFIP International Conference on Wireless and Optical Communications Networks, WOCN 2013 |
|---|---|
| Country/Territory | India |
| City | Bhopal, Madhya Pradesh |
| Period | 26/07/13 → 28/07/13 |
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
- context aware system
- decision support system
- onboard sensor system
- participatory sensing
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