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Erschienen in:
2019 | OriginalPaper | Buchkapitel
Movement Detection Methods with Wireless Signals and Multiple Sensors on Mobile Phone for Traffic Accident Prevention Systems
verfasst von : Shoma Takeuchi, Noriki Uchida, Yoshitaka Shibata
Erschienen in: Advances in Network-Based Information Systems
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Abstract
In the recent traffic accidents, it has been focused on the pedestrians and the bicycles as well as the automobiles. Especially, it is widely considered that the texting while walking and riding bicycles is extremely dangerous. Thus, this research proposed the mobile traffic accident prevention system with observing the radio signals and various sensors on the smartphone. In the methods, the RSSI levels of IEEE802.11a/b/g/n from others are firstly observed, and the sensors such as the gyro sensor on the smartphone are secondly applied for the modifications of the detection process based on the Markov Chain algorithm. Then, this paper reports the prototype system of the proposed methods, and the experimental results are discussed for the future studies.