作者
Yu Zheng, Quannan Li, Yukun Chen, Xing Xie, Wei-Ying Ma
发表日期
2008/9/21
图书
Proceedings of the 10th international conference on Ubiquitous computing
页码范围
312-321
简介
Both recognizing human behavior and understanding a user's mobility from sensor data are critical issues in ubiquitous computing systems. As a kind of user behavior, the transportation modes, such as walking, driving, etc., that a user takes, can enrich the user's mobility with informative knowledge and provide pervasive computing systems with more context information. In this paper, we propose an approach based on supervised learning to infer people's motion modes from their GPS logs. The contribution of this work lies in the following two aspects. On one hand, we identify a set of sophisticated features, which are more robust to traffic condition than those other researchers ever used. On the other hand, we propose a graph-based post-processing algorithm to further improve the inference performance. This algorithm considers both the commonsense constraint of real world and typical user behavior based on …
引用总数
20092010201120122013201420152016201720182019202020212022202320241231415977851071031311461291381231059559
学术搜索中的文章
Y Zheng, Q Li, Y Chen, X Xie, WY Ma - Proceedings of the 10th international conference on …, 2008