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Error detection and comparison of gesture control technologies

IAES International Journal of Artificial Intelligence · Vol. 11 No. 2 (2022) · hlm. 709–716

DOI
10.11591/ijai.v11.i2.pp709-716
ISSN
2252-8938, 2089-4872
Terbit
2022-06-01
Penerbit
Institute of Advanced Engineering and Science
Bahasa
eng
Lisensi
creativecommons.org/licenses/by-sa/4.0

Abstrak

This paper showcases the study and observation on the error occurrence in gesture control technologies. An arduino-based gesture control environment has been developed by using the arduino board to use motion gestures to control the contents on the screen. This environment is made using position sensitive diodes as sensing devices, arduino as a micro-controller and Python to execute commands in the system. It is performed on 2 different software applications namely Google Chrome and VideoLAN Client Media Player. In Google Chrome gestures are used to traverse between tabs and also move up and down within a web page, whereas in VideoLAN Client Media Player gestures are used to control the volume and speed. Through this, the difference between two technologies i.e., infrared and ultrasonic are worked and compared. Various data visualization cues are prepared to better understand the error and the factors causing it. Thorough investigation of factors affecting the error has been done using our observation. The future of this technology and its limitations have been also discussed.

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  • International Institute of Information Technology
  • Woosong University
  • KIIT University
  • Veer Surendra Sai University of Technology
  • Biju Patnaik University of Technology
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Rekan penulisOrganisasiArtikel bersama
Rudranarayan SenapatiKIIT University9
Sivkumar MishraBiju Patnaik University of Technology6
Seong-Cheol KimWoosong University4
Papia RayVeer Surendra Sai University of Technology4
Padarabinda PalaiInternational Institute of Information Technology4
Arun Kumar SahooInternational Institute of Information Technology4
Rambilli Krishna Prasad Rao NaiduInternational Institute of Information Technology4
S. NarasimhaAfiliasi tidak diketahui3
Sanchita SahayInternational Institute of Information Technology3
Kaushiki AgrawalInternational Institute of Information Technology2
Ayush KumarInternational Institute of Information Technology2
Sandip Ranjan BeheraInternational Institute of Information Technology2
Arul Kumar DashInternational Institute of Information Technology2
Prajna Jeet OjhaInternational Institute of Information Technology2
Lingam YashwanthInternational Institute of Information Technology2
Peesodi UdayInternational Institute of Information Technology2
Bhabesh RoutrayInternational Institute of Information Technology2
Nitesh PattanayakInternational Institute of Information Technology2
Priyansu ShekharInternational Institute of Information Technology2
Pratyus Ranjan BeheraInternational Institute of Information Technology2
Priyanka raiInternational Institute of Information Technology2
Prince KumarInternational Institute of Information Technology2
Ayush KumarInternational Institute of Information Technology2
Prabin BiswalInternational Institute of Information Technology2
Swayamjyoti SatapathyInternational Institute of Information Technology2
Smruti Susmita SahuInternational Institute of Information Technology2
Chan-Mook JungWoosong University1
Pankaj SharmaWoosong University1
Monalisa PandaInternational Institute of Information Technology1
Debani Prashad MishraInternational Institute of Information Technology1
Sopa Mousumi PatroInternational Institute of Information Technology1
Kalpa Ranjan BeheraWoosong University1
Debani Prasad MishraInternational Institute of Information Technology1
Raj Alpha SwainInternational Institute of Information Technology1
Nisha KediaInternational Institute of Information Technology1

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Sumber metadata: OAI-PMH (metadata jurnal) http://ijai.iaescore.com/index.php/IJAI/oai, pertama di-harvest 8 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
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	<dc:title xml:lang="en-US">Error detection and comparison of gesture control technologies</dc:title>
	<dc:creator>Mahapatra, Aditya Prasad</dc:creator>
	<dc:creator>Sukla, Bishweashwar</dc:creator>
	<dc:creator>K. M., Harikrishnan</dc:creator>
	<dc:creator>Mishra, Debani Prasad</dc:creator>
	<dc:creator>Salkuti, Surender Reddy</dc:creator>
	<dc:subject xml:lang="en-US">Artificial Intelligence; Machine Learning</dc:subject>
	<dc:subject xml:lang="en-US">Arduino; Errors; Gesture control; IR sensors; Ultrasonic sensors;</dc:subject>
	<dc:description xml:lang="en-US">This paper showcases the study and observation on the error occurrence in gesture control technologies. An arduino-based gesture control environment has been developed by using the arduino board to use motion gestures to control the contents on the screen. This environment is made using position sensitive diodes as sensing devices, arduino as a micro-controller and Python to execute commands in the system. It is performed on 2 different software applications namely Google Chrome and VideoLAN Client Media Player. In Google Chrome gestures are used to traverse between tabs and also move up and down within a web page, whereas in VideoLAN Client Media Player gestures are used to control the volume and speed. Through this, the difference between two technologies i.e., infrared and ultrasonic are worked and compared. Various data visualization cues are prepared to better understand the error and the factors causing it. Thorough investigation of factors affecting the error has been done using our observation. The future of this technology and its limitations have been also discussed.</dc:description>
	<dc:publisher xml:lang="en-US">Institute of Advanced Engineering and Science</dc:publisher>
	<dc:contributor xml:lang="en-US">Woosong University's Academic Research Funding - 2021</dc:contributor>
	<dc:date>2022-06-01</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US"></dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://ijai.iaescore.com/index.php/IJAI/article/view/21002</dc:identifier>
	<dc:identifier>10.11591/ijai.v11.i2.pp709-716</dc:identifier>
	<dc:source xml:lang="en-US">IAES International Journal of Artificial Intelligence (IJ-AI); Vol 11, No 2: June 2022; 709-716</dc:source>
	<dc:source>2252-8938</dc:source>
	<dc:source>2089-4872</dc:source>
	<dc:source>10.11591/ijai.v11.i2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://ijai.iaescore.com/index.php/IJAI/article/view/21002/13386</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Institute of Advanced Engineering and Science</dc:rights>
	<dc:rights xml:lang="en-US">http://creativecommons.org/licenses/by-sa/4.0</dc:rights>
</oai_dc:dc>