基于体感交互技术的物联网智能家居系统

Intelligent Home System of Internet of Things Bbased on Somatosensory Interaction Technology

在基于物联网技术的智能家居系统的基础上,引入Kinect传感器,建立骨骼跟踪系统和语音识别功能,通过加权DWT算法,系统可以对动作和声音进行初步判断识别,并通过深入学习算法对使用者的发音和动作习惯进行学习和修正、减少失误,从而可以对智能家居进行精准的控制。同时本文引入专家系统,使得智能家居智能化程度越来越高、越来越贴近人们的生活。

On the basis of the smart home system based on the Internet of things,the Kinect sensor is introduced to establish the skeleton tracking system and speech recognition function. The weighted DWT algorithm,system can determine the initial recognition of movements and sounds,and through in-depth learning algorithm,it can learn and correct the habits of user＇s pronunciation and action,reduce errors,which can take the precise control of smart Home. At the same time,this paper introduces the expert system,which makes the smart home more and more intelligent,more and more close to the personal life.