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Development of a smart home system based on multi-sensor data fusion technology

机译:基于多传感器数据融合技术的智能家居系统的开发

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The objective of this study is to develop a multi-sensor data fusion technology based smart home system and its intelligent monitoring interface. The functions of this system include: 1) smart entertainment and household appliances remote control; 2) indoor positioning and intelligent energy management; and 3) home fire prevention. In addition, an intelligent monitoring interface is developed for the smart home system to provide indoor environmental temperature, CO concentration, communicative environmental alarm, household appliances situation, human motion signals, and the results of gesture classification and indoor positioning in real-time. Finally, the abovementioned functions and intelligent monitoring interface are implemented in an experimental model for validating the effectiveness of the smart home system. We have executed the following three research subjects to accomplish the aforementioned objectives: 1) Develop a wearable sensing device placed on hand and its 3D gesture recognition algorithm to implement a real-time, convenient, and low-cost household appliances remote control system. 2) Develop a wearable sensing device placed on foot and its indoor pedestrian positioning algorithm to realize an effective pedestrian navigation system for smart energy management. 3) Develop a multi-sensor circuit and its intelligent fire prevention and alarm algorithm to realize an intelligent fire prevention and alarm system for home fire prevention. The experimental results have successfully validated the effectiveness of the proposed smart home system and its intelligent monitoring interface.
机译:本研究的目的是开发基于多传感器数据融合技术的智能家居系统及其智能监控界面。该系统的功能包括:1)智能娱乐和家用电器遥控; 2)室内定位和智能能源管理; 3)家庭防火。此外,为智能家居系统开发了智能监控界面,以提供室内环境温度,CO浓度,交流环境报警,家用电器情况,人类运动信号,以及实时手势分类和室内定位的结果。最后,上述功能和智能监控界面在实验模型中实现了验证智能家居系统的有效性。我们已经执行了以下三个研究对象来完成上述目标:1)开发一个可穿戴式传感装置,并在手头上放置,其3D手势识别算法实现实时,方便,低成本的家用电器遥控系统。 2)开发一个可穿戴式传感装置,位于脚下,其室内行人定位算法,以实现智能能源管理的有效行人导航系统。 3)开发多传感器电路及其智能防火和报警算法,实现家庭防火防火和报警系统。实验结果已成功验证了所提出的智能家居系统的有效性及其智能监控界面。

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