Extraction of ski lift ride situation from GNSS data at ski resort by human behavior analysis

The Quasi-Zenith Satellite System (QZSS), which offered positioning signals into your navigation system of devices such as cars and smartphones started service as a four-satellite system from November 2018. They are expected a widespread various innovative services with highly precise positioning. In this study, we describe the development of information processing technology in utilizing Global Navigation Satellite System (GNSS) data in view of the trend of human sensing technology on a wide area outdoor environment. The practical case of target is a human behavior of a skier in ski resort which is case of sports field by GNSS data capture experiment. The behavior of the skier is not only when skiing. There are various actions such as taking a break and ride on a ski lift. That is to say, it is necessary to separate skiing data and other data. In order to realize this, we analyzed the features of the raw GNSS data. We described an analysis of three-dimension GNSS data that is latitude, longitude, high data. As a result, we considered characteristic noise detection results of the data, and extracted of the ski lift ride situation about human behavior analysis.