ABSTRACT
Smart home equipped with sensors and electronic devices as a Cyber-Physical Systems (CPS) offers great research perspective to explore communication, computation and controlling of physical devices by using real-time processing and analytics. Since CPS like smart home involves the integration of several types of sensors and equipment, therefore reliability, maintainability, security, data storage and cost-effectiveness are some of the critical issues to be addressed. In addition, interactivity and dynamic feedback, context correlation with respect to streaming events and uncertainties in event composition are also identified as major challenging issues. In the present research, a model for CPS is proposed which is a voice-controlled smart home. Spoken Language Understanding (SLU) plays an important role in dialog system for identifying semantic components in user utterance. The research work includes stream processing, data collection, identification of actions from voice utterance and event-based real-time decision making. The study includes deployment of various sensors and actuators for performing various actions based on voice commands. Raspberry Pi [19] is used as a central node to which various sensors and equipment are connected. It receives voice command from android device and identifies the various intents and slots from the input utterance.
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