Robot semantic mapping through human activity recognition: A wearable sensing and computing approach
文献类型:期刊论文
作者 | Sheng Weihua; Du Jianhao; Cheng Qi; Li Gang; Zhu Chun; Liu Meiqin; Xu Guoqing |
刊名 | ROBOTICS AND AUTONOMOUS SYSTEMS
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出版日期 | 2015 |
英文摘要 | Semantic information can help robots understand unknown environments better. In order to obtain semantic information efficiently and link it to a metric map, we present a new robot semantic mapping approach through human activity recognition in a human-robot coexisting environment. An intelligent mobile robot platform called ASCCbot creates a metric map while wearable motion sensors attached to the human body are used to recognize human activities. Combining pre-learned models of activity-furniture correlation and location-furniture correlation, the robot determines the probability distribution of the furniture types through a Bayesian framework and labels them on the metric map. Computer simulations and real experiments demonstrate that the proposed approach is able to create a semantic map of an indoor environment effectively. (C) 2015 Elsevier B.V. All rights reserved. |
收录类别 | SCI |
原文出处 | http://www.sciencedirect.com/science/article/pii/S0921889015000202 |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/6604] ![]() |
专题 | 深圳先进技术研究院_集成所 |
作者单位 | ROBOTICS AND AUTONOMOUS SYSTEMS |
推荐引用方式 GB/T 7714 | Sheng Weihua,Du Jianhao,Cheng Qi,et al. Robot semantic mapping through human activity recognition: A wearable sensing and computing approach[J]. ROBOTICS AND AUTONOMOUS SYSTEMS,2015. |
APA | Sheng Weihua.,Du Jianhao.,Cheng Qi.,Li Gang.,Zhu Chun.,...&Xu Guoqing.(2015).Robot semantic mapping through human activity recognition: A wearable sensing and computing approach.ROBOTICS AND AUTONOMOUS SYSTEMS. |
MLA | Sheng Weihua,et al."Robot semantic mapping through human activity recognition: A wearable sensing and computing approach".ROBOTICS AND AUTONOMOUS SYSTEMS (2015). |
入库方式: OAI收割
来源:深圳先进技术研究院
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