Abstract
It is important to know the human behavior exactly for instituting urban planning and disaster prevention planning. GPS sensor of smartphone can be acquiring position information attached with human behavior. However, smartphone application systems often don't operate as system developers had expected, becauce the different type of GPS sensors are installed in smartphones. System developers have to develop the application systems understanding the sensor features in smartphone.
The objective of this research is to elucidate the features of GPS sensor and activity recognition API. The preexperiments were conducted for understanding temporal and distance intervals, location accuracy, and proposed correction method using six smartphone devices. The primary experiments were designed and conducted for elucidating the accuracy of position information using only GPS sensor and GPS sensor and activity recognition API. The means of transportation and the location of activity were grasped on stable temporal and distance intervals developing and validating the application system of GPS sensor and activity recognition API.