| 基于视觉的人机协同的用户操作意图预测 |
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| 引用本文： | 赵大兴,杨贝贝,刘格,赵迪.基于视觉的人机协同的用户操作意图预测[J].科学技术与工程,2017,17(16). |
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| 作者姓名： | 赵大兴 杨贝贝 刘格 赵迪 |
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| 作者单位： | 湖北工业大学机械工程学院,湖北工业大学机械工程学院,湖北工业大学机械工程学院,湖北工业大学机械工程学院 |
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| 摘 要： | 提出了一种自然交互方式的用户操作意图的预测算法。通过采集人体骨骼数据,建立人体手臂运动模型。采用机器视觉方式提取目标物体的特征值并建立意图模型。采用层次分析法对表达用户意图的主导因子进行权重匹配。该算法采用并行处理的方法对用户意图进行预测。通过相关实验,验证了预测算法的可靠性,该算法有助于提高人机交互的效率。
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| 关 键 词： | 人机协同 意图识别 机器视觉 权重匹配 |
| 收稿时间： | 2016/11/23 0:00:00 |
| 修稿时间： | 2016/12/29 0:00:00 |
User Action Intention Inference Based Vision of Human--machine Cooperation |
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| ZHAO Da-xing,YANG Bei-bei,LIU Ge and.User Action Intention Inference Based Vision of Human--machine Cooperation[J].Science Technology and Engineering,2017,17(16). |
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| Authors: | ZHAO Da-xing YANG Bei-bei LIU Ge and |
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| Institution: | School of Mechanical Engineering, Hubei University of Technology,School of Mechanical Engineering, Hubei University of Technology,School of Mechanical Engineering, Hubei University of Technology, |
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| Abstract: | A natural interactive algorithm for human intention inference was proposed in this paper. The motion model of human arm was established by collecting the data of human body skeleton. The eigenvalue of the target object was extracted by the mode of machine vision and the intention model was established. The dominant factor of user intention was matched with the weight-based pattern using the Analytic Hierarchy Process (AHP). The parallel processing method was used to predict the user"s intention. The reliability of the prediction algorithm is verified by the related experiments, which can improve the efficiency of human-computer interaction. |
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| Keywords: | human-machine cooperation intention recognition machine vision weight matching |
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