Standing in Line Behavior Extraction Method by Radio Information

Abstract

Abstract Wireless communication devices such as smartphones are essential in our recent daily life. The devices are also able to apply to understand human behaviors besides connecting a network via high speed communication links. One of such network services includes public wireless LAN services. The service is provided at many public spaces and stores. The stores especially need some added values by the public wireless LAN service. Concrete services such as avoiding disasters and inducement customers via coupons already have begun at many stores in Japan. This study proposes the extraction method of human's standing in line behavior to contribute increasing added values of public wireless LAN services at several stores. The shop owners are able to know how long the standing in line in front of their shops and provide appropriate services to their customers. This study uses wireless LAN frame data on the air. The estimation model with Bayesian estimation method is applied by using the received signal strength in actual wireless LAN frames. It achieved high accuracy of 0.868 through the evaluation experiment by 5-fold cross validation.