Home automation using Raspberry Pi through Siri enabled mobile devices

Home automation is a system that has the technology to control devices automatically in order to convene the desires of security, comfort and efficiency. On the other hand, voice-based digital assistant such as Apple's Siri provides a location independent access to the Internet and local networ...

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Main Authors: Celebre, Ana Marie D., Dubouzet, Alec Zandrae D., Medina, Ian Benedict A., Surposa, Adrian Neil M., Gustilo, Reggie C.
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Published: Animo Repository 2016
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Online Access:https://animorepository.dlsu.edu.ph/faculty_research/3442
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4444/type/native/viewcontent/HNICEM.2015.7393270
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Institution: De La Salle University
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spelling oai:animorepository.dlsu.edu.ph:faculty_research-44442021-09-08T08:09:48Z Home automation using Raspberry Pi through Siri enabled mobile devices Celebre, Ana Marie D. Dubouzet, Alec Zandrae D. Medina, Ian Benedict A. Surposa, Adrian Neil M. Gustilo, Reggie C. Home automation is a system that has the technology to control devices automatically in order to convene the desires of security, comfort and efficiency. On the other hand, voice-based digital assistant such as Apple's Siri provides a location independent access to the Internet and local networks. This study focuses on implementing a home automation system through Siri's capability of speech recognition and through Raspberry Pi as a low cost control system to automate home devices, namely the air cooler, door, lights, TV and window. SiriProxy is installed on the Raspberry Pi as a proxy server for Siri. By developing a SiriProxy plug-in, a set of commands for home automation could be custom-made by the user. The system has been tested and verified through speech recognition's accuracy tests, response latency tests and success rate tests. A total of 34 subjects with different English accents tested a total of 14 voice commands with a total of 390 trials. The tests verified that the system's average latency is at 2.12 seconds with an overall success rate at 93.3333% on at least 3 trials and 87.381% success rate on at least one trial. © 2015 IEEE. 2016-01-25T08:00:00Z text text/html https://animorepository.dlsu.edu.ph/faculty_research/3442 info:doi/10.1109/HNICEM.2015.7393270 https://animorepository.dlsu.edu.ph/context/faculty_research/article/4444/type/native/viewcontent/HNICEM.2015.7393270 Faculty Research Work Animo Repository Home automation Automatic speech recognition Raspberry Pi (Computer) Electrical and Computer Engineering Electrical and Electronics
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
topic Home automation
Automatic speech recognition
Raspberry Pi (Computer)
Electrical and Computer Engineering
Electrical and Electronics
spellingShingle Home automation
Automatic speech recognition
Raspberry Pi (Computer)
Electrical and Computer Engineering
Electrical and Electronics
Celebre, Ana Marie D.
Dubouzet, Alec Zandrae D.
Medina, Ian Benedict A.
Surposa, Adrian Neil M.
Gustilo, Reggie C.
Home automation using Raspberry Pi through Siri enabled mobile devices
description Home automation is a system that has the technology to control devices automatically in order to convene the desires of security, comfort and efficiency. On the other hand, voice-based digital assistant such as Apple's Siri provides a location independent access to the Internet and local networks. This study focuses on implementing a home automation system through Siri's capability of speech recognition and through Raspberry Pi as a low cost control system to automate home devices, namely the air cooler, door, lights, TV and window. SiriProxy is installed on the Raspberry Pi as a proxy server for Siri. By developing a SiriProxy plug-in, a set of commands for home automation could be custom-made by the user. The system has been tested and verified through speech recognition's accuracy tests, response latency tests and success rate tests. A total of 34 subjects with different English accents tested a total of 14 voice commands with a total of 390 trials. The tests verified that the system's average latency is at 2.12 seconds with an overall success rate at 93.3333% on at least 3 trials and 87.381% success rate on at least one trial. © 2015 IEEE.
format text
author Celebre, Ana Marie D.
Dubouzet, Alec Zandrae D.
Medina, Ian Benedict A.
Surposa, Adrian Neil M.
Gustilo, Reggie C.
author_facet Celebre, Ana Marie D.
Dubouzet, Alec Zandrae D.
Medina, Ian Benedict A.
Surposa, Adrian Neil M.
Gustilo, Reggie C.
author_sort Celebre, Ana Marie D.
title Home automation using Raspberry Pi through Siri enabled mobile devices
title_short Home automation using Raspberry Pi through Siri enabled mobile devices
title_full Home automation using Raspberry Pi through Siri enabled mobile devices
title_fullStr Home automation using Raspberry Pi through Siri enabled mobile devices
title_full_unstemmed Home automation using Raspberry Pi through Siri enabled mobile devices
title_sort home automation using raspberry pi through siri enabled mobile devices
publisher Animo Repository
publishDate 2016
url https://animorepository.dlsu.edu.ph/faculty_research/3442
https://animorepository.dlsu.edu.ph/context/faculty_research/article/4444/type/native/viewcontent/HNICEM.2015.7393270
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