Cyclist Fall Detection System via the Internet of Things (IoT)

Cycling has recently become one of the most popular activities among people worldwide. It is a practical and pollution-free way of transportation. However, it has several risks and potential impairments for users. One of the causes of an individual’s death or major injuries in an accident is a lack...

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書目詳細資料
發表在:International Journal of Computing and Digital Systems
主要作者: Kit T.J.; Saruchi S.A.; Hassan N.; Izni N.A.
格式: Article
語言:English
出版: University of Bahrain 2023
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161818994&doi=10.12785%2fijcds%2f130182&partnerID=40&md5=ecb1ccbb8874130c412507ca44fe924d
實物特徵
總結:Cycling has recently become one of the most popular activities among people worldwide. It is a practical and pollution-free way of transportation. However, it has several risks and potential impairments for users. One of the causes of an individual’s death or major injuries in an accident is a lack of first aid provision due to the emergency services that is not promptly receiving information about the event. The emergency response speed is critical for any accident. Therefore, this study developed a prototype of a cyclist fall detection system to produce immediate alerts regarding any fall incident and an accurate real-time location to the emergency contacts via smartphones. The proposed system used an ESP8266 as a microcontroller to collect and process the data from the sensors. An accelerometer sensor is also used to obtain the acceleration value to calculate the roll angle in determining the cyclist’s and bicycle’s orientation. A Global Positioning System (GPS) is installed in the proposed system to obtain the cyclist’s real-time location. The fall detection system is connected with software named BLYNK to send an emergency alert to the selected contact. As a result, the developed prototype successfully detected a fall and sent an emergency alert to specific users. Along with that, the GPS also managed to produce an accurate reading of fall’s real-time location. © 2023 University of Bahrain. All rights reserved.
ISSN:2210142X
DOI:10.12785/ijcds/130182