A fusion-based approach for user activities recognition on smart phones

Gunarto Sindoro Njoo, Xiao Wen Ruan, Kuo Wei Hsu, Wen-Chih Peng

研究成果: Conference contribution同行評審

5 引文 斯高帕斯(Scopus)

摘要

In the recent years, several research works have been conducted on collecting context data from various sensors for activity inference. We observe that users perform several actions in their mobile phones: taking photos, performing check-ins, and accessing Wi-Fi networks. These actions generate spatial-temporal data that could be utilized to capture user activities. Spatial-temporal data could indicate that a user stays in a certain location at a particular time for a certain activity. In addition, by referring to social media data, one could also infer user activities. Three types of features are extracted for activity inference: 1) geographical feature, indicating where a user performs activities; 2) temporal feature, indicating when a user performs activities; and 3) semantic feature, showing the semantic concept of a place from location-based social networks. Here, we propose Spatial-Temporal Activity Inference Model (STAIM) to infer user activities from data with those three features. In addition, to determine the weight for each feature, we further propose three methods based on frequency, entropy, and entropy-frequency. Experimental results show that STAIM is able to effectively infer user activities, achieving 75% accuracy on average. Moreover, STAIM could infer user activities even when there is no training data (with some performance loss). Moreover, sensitive analysis of parameters is also conducted to select the most optimal parameter.

原文English
主出版物標題Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015
編輯Gabriella Pasi, James Kwok, Osmar Zaiane, Patrick Gallinari, Eric Gaussier, Longbing Cao
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781467382731
DOIs
出版狀態Published - 2 12月 2015
事件IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015 - Paris, France
持續時間: 19 10月 201521 10月 2015

出版系列

名字Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, DSAA 2015

Conference

ConferenceIEEE International Conference on Data Science and Advanced Analytics, DSAA 2015
國家/地區France
城市Paris
期間19/10/1521/10/15

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