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Journal of Artificial Intelligence and Data Mining، جلد ۵، شماره ۲، صفحات ۱۹۷-۲۱۰
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عنوان انگلیسی A New Ontology-Based Approach for Human Activity Recognition from GPS Data
چکیده انگلیسی مقاله Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required in order to identify the activities that users might need to do in different places. Researchers from different communities have developed models and techniques to extract activity types from such data, but they mainly have focused on the geometric properties of trajectories and do not consider the semantic aspect of moving objects. This work proposes a new ontology-based approach so as to recognize human activity from GPS data for understanding and interpreting mobility data. The performance of the approach was tested and evaluated using a dataset, which was acquired by a user over a year within the urban area in the City of Calgary in 2010. It was observed that the accuracy of the results was related to the availability of the points of interest around the places that the user had stopped. Moreover, an evaluation experiment was done, which revealed the effectiveness of the proposed method with an improvement of 50 % performance with complexity trend of an O(n).
کلیدواژه‌های انگلیسی مقاله Ontology, Data mining, Activity Recognition, Semantic, GPS
نویسندگان مقاله a موسوی |
department of geomatics, university of calgary, calgary, canada.

a شیخ محمد زاده | sheikh mohammad zadeh
department of geomatics, civil engineering faculty, shahid rajaee teacher training university, tehran, iran.
سازمان اصلی تایید شده: دانشگاه تربیت دبیر شهید رجایی (Shahid rajaee teacher training university)

m اکبری |
department of civil engineering, university of birjand, birjand, iran.
سازمان اصلی تایید شده: دانشگاه بیرجند (Birjand university)

a hunter |
department of geomatics, university of calgary, calgary, canada.

نشانی اینترنتی http://jad.shahroodut.ac.ir/article_889_6c87a60a30a09ebb7588d351c664f2ae.pdf
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زبان مقاله منتشر شده en
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