Workers’ context description and unsafe behavior recognition in Internet of things for mines

Workers’ context description and unsafe behavior recognition in Internet of things for mines

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The mine is a complicated environment.The intelligent recognition of such behavior requires not only the data-driven activity recognition method,but also the machine-readable domain knowledge based approach.However,the data of IoT for mines lacks the semantic information.Besides,there is no standard...

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Bibliographic Details
Main Authors: Shimin FENG, Zhongyu LIU, Xiao YU, Lei MENG, Zhikai ZHAO, Enjie DING
Format: Article
Language:zho
Published: China InfoCom Media Group 2018-12-01
Series:物联网学报
Subjects:
mine Internet of things;unsafe behavior;activity recognition;ontology;artificial intelligence
Online Access:http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2018.00083

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http://www.wlwxb.com.cn/thesisDetails#10.11959/j.issn.2096-3750.2018.00083

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