VOISMA: Indoor Location Identification for Voice-based Smart Home

Abstract

Voice-based interfaces are the emerging trend to provide a more natural human-device interaction in smart environments. Such interfaces require to identify the location of the end-user to assist the machine in decision making. In this paper, we propose an approach, VOISMA, that identifies the location of the end-user based on the voice goals provided to the smart home automation system using acoustic techniques. Our approach alleviates the need for end-users to install additional hardware equipment in the home rather it enables the location identification using their existing voice-based systems. We demonstrate the feasibility of the proposed approach and conduct different experiments in a smart home environment.