摘要
智能环境中的设备越来越多且越来越复杂,配置以及正确地使用这些设备变得更费时,也更容易出错。本文讨论了一种设备智能控制模型来辅助用户控制设备,该模型方法利用基于RFID的定位系统的传感器网络观测用户和设备状态数据,用户的活动通过任务模型分解和描述,待控制的环境设备状态作为用户子任务的效果。应用推理规则,任务模型被转化为HMM模型,当用户特定的动作序列被识别后,系统使用设备的状态动作关系表完成设备的后续操作序列。
The devices in smart environments become more and more complex. Thus the users spend more time on configuration and correct usage. An intelligent device controlling model is discussed in this paper. By making use of sensor network including RFID-hased location tracking system, the model can get the observation of user and device states. A task model is employed to decompose and describe user activities and the states of the device are annotated to sub-task as effect. The task mode is synthesized to a HMM by applying inference rules. When particular activities have been recognized, the sequences of device actions which are pre-defined in a state-action table will be executed by system.
出处
《电信科学》
北大核心
2012年第10期99-105,共7页
Telecommunications Science
关键词
RFID
隐马尔可夫模型
意图识别
智能控制
radio frequency identification, hidden Markov model, intention recognition, intelligent control
