物联网监控设备的开发与日常生活行为的预测

Rabindra Maharjan, K. Shiraishi, Takehiro Yamamoto, Yusuke Yamamoto, Hiroaki Ohshima
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引用次数: 2

摘要

在这项研究中,我们开发了一个物联网(IoT)监控设备来监控房间内的人。我们使用该设备在特定位置收集传感器数据。根据这些数据,我们试图预测这个人在那个位置的行为。监控和预测人类的日常行为是一项微不足道的任务。日常生活行为监测和预测的研究大多是基于智能家居的数据[7][16][17]。但与普通家庭相比,智能家居价格昂贵,因为房间里安装了不同种类的传感器,设备也更多。因此,我们开发了一种低成本的物联网监控设备,并从设备中获取的传感器数据来预测人类的日常生活行为。我们可以从日常生活行为中提取信息,并与生活在遥远地方的家人分享。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of IoT Monitoring Device and Prediction of Daily Life Behavior
In this study, we developed an Internet of Things (IoT) monitoring device to monitor over the people inside a room. We collected sensor data at a specific location using the device. Based on the data, we tried to predict the behavior of the person at that location. Monitoring and predicting human daily behavior is trivial task. Most of the research on monitoring and predicting daily life behavior are based on the data available from smart home [7] [16] [17]. But smart home is expensive compare to normal home, as different kind of sensor are attached in the room and have more facilities. So, we developed a low cost IoT monitoring device and predict the daily life behavior of human from the sensor data taken from the device. We can extract information from the daily life behavior and share it with the family living in distant places.
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