摘要
在传统智能家居的基础上,引入了随动思想与Kinect体感设备,设计了一种随动跟随车,随时随地收集用户状态信息的变化,以便智能家居设备进行控制调整,针对传统智能家居未涉及的部分进行智能控制。随时随地收集用户使用者的状态、表情、语音及所处环境等数据进行识别,用来控制优化家居系统,使其更为贴合使用者的需求。实验结果表明:智能家居随动系统能很好地绕过家庭中的障碍,并且对使用者的状态、表情、语音及所处环境等数据能进行很好地识别,具有很强的抗干扰性。
Based on the tranditional intelligent household,the servo theory and somatosensory devices are brought in to design a kind of servo following-car which could collect variations of user state information all times to adjust tranditional intelligent household devices and control parts not involved in tranditional intelligent household in this paper.The information including states,facial expressions,speech and living environment of users are recognized all times to optimize the intelligent household system and meet users' requirement.
出处
《工业控制计算机》
2016年第4期50-51,53,共3页
Industrial Control Computer
关键词
KINECT
随动
智能家居
体感
跟随车
Kinect
follower
intelligent home
somatosensory
follow the car