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Probabilistically Predicting Location of Human with Psychological Factors

机译:基于心理因素的概率预测人的位置

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It is believed that personal mobility patterns of a human are highly related to a person's personality. The person's location at a given time can be identified in case the person carries positioning devices, and thus a personal mobility patterns can be identified. One of the personality models, the big five personality models have been regarded as a representative model of a personality identification. Combining a personal mobility pattern and a personality, this research presents a mechanism for finding the person's location at a given hour of a day. In order to connect personality model and locations, the back propagation network was used as an underlying technology. As a result, this paper finds a possibility to predict a person's location at a given time in combination of personality and personal mobility pattern. Preliminary experiment and practical experiment were conducted and the results of experiments were also presented and interpreted.
机译:人们认为,人的个人活动模式与人的个性高度相关。如果该人携带定位设备,则可以识别该人在给定时间的位置,从而可以识别出个人移动模式。作为人格模型之一,五大人格模型已被视为人格识别的代表性模型。这项研究结合了个人的出行方式和个性,提出了一种机制,可以在一天的特定时间找到该人的位置。为了连接个性模型和位置,反向传播网络被用作基础技术。结果,本文发现了结合个性和个人流动性模式来预测一个人在给定时间的位置的可能性。进行了初步实验和实践实验,并介绍和解释了实验结果。

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