@inbook{c799b9e348db4fa29a52a522980dc3d6,
title = "Privacy-Enabled Smart Home Framework with Voice Assistant: Smart Assisted Living ",
abstract = "Smart home environment plays a prominent role in improving the quality of life of the residents by enabling home automation, health care and safety through various Internet of Things (IoT) devices. However, a large amount of data generated by sensors in a smart home environment heighten security and privacy concerns among potential users. Some of the data can be sensitive as it contains information about users{\textquoteright} private activities, location, behavioural patterns and health status. Other concerns of the users are towards the distribution and sharing of data to third parties. In this chapter, we propose privacy-enabled smart home framework consisting of three major components: activity recognition and occupancy detection, privacy-preserving data management and voice assistant. The proposed platform includes unobtrusive sensors for multiple occupancy detection and activity recognition. The privacy-enabled voice assistant performs interaction with smart home. We also present a detailed description of system architecture with service middleware.",
keywords = "Smart home, activity recognition, Occupancy detection, Privacy-preserving data management, Dialogue manager",
author = "Deepika Singh and Ismini Psychoula and Erinc Merdivan and Johannes Kropf and Sten Hanke and Emanuel Sandner and Liming Chen and Andreas Holzinger",
year = "2019",
month = aug,
day = "21",
doi = "10.1007/978-3-030-25590-9_16",
language = "English",
isbn = "978-3-030-25589-3",
series = "Smart Assisted Living",
publisher = "Springer Cham",
pages = "321--339",
booktitle = "Smart Assisted Living",
}
