Real-time video streaming with multi-camera for a telepresence wheelchair

Ha, VKL; Nguyen, TN; Nguyen, HT

Real-time video streaming with multi-camera for a telepresence wheelchair

Ha, VKL

Nguyen, TN

Nguyen, HT

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Publication Type:: Conference Proceeding
Citation:: 2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, 2017
Issue Date:: 2017-01-31

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Field	Value	Language
dc.contributor.author	Ha, VKL https://orcid.org/0000-0001-8081-1388	en_US
dc.contributor.author	Nguyen, TN https://orcid.org/0000-0002-9958-9876	en_US
dc.contributor.author	Nguyen, HT https://orcid.org/0000-0003-3373-8178	en_US
dc.date.issued	2017-01-31	en_US
dc.identifier.citation	2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016, 2017	en_US
dc.identifier.isbn	9781509035496	en_US
dc.identifier.uri	http://hdl.handle.net/10453/65195
dc.description.abstract	© 2016 IEEE. This paper presents a new approach for telepresence wheelchairs equipped with multiple cameras. The aim of this system is to provide effective assistance for the elderly and people with disabilities. The work explores the integration of the Internet of Things, such as multimedia, wireless Internet communication, and automation control techniques into a powered wheelchair system. In particular, multiple videos are streamed in real-time from an array of cameras mounted on the wheelchair, allowing wide visualization surrounding the wheelchair. By using video communication and interaction, remote users can assist to navigate a wheelchair via the Internet through wireless connections in a distant location. The experimental results show that video streaming can achieve high-quality video with the streaming rate up to 30 frames per second (fps) in real-time. The average round-trip time is under 27 milliseconds (ms). The results confirmed the effectiveness of the proposed system for tele-monitoring and remote control to achieve safer navigation tasks for wheelchair users.	en_US
dc.relation.ispartof	2016 14th International Conference on Control, Automation, Robotics and Vision, ICARCV 2016	en_US
dc.relation.isbasedon	10.1109/ICARCV.2016.7838749	en_US
dc.title	Real-time video streaming with multi-camera for a telepresence wheelchair	en_US
dc.type	Conference Proceeding
utslib.for	0903 Biomedical Engineering	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - CHT - Health Technologies
pubs.organisational-group	/University of Technology Sydney/Students
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US

Abstract:

© 2016 IEEE. This paper presents a new approach for telepresence wheelchairs equipped with multiple cameras. The aim of this system is to provide effective assistance for the elderly and people with disabilities. The work explores the integration of the Internet of Things, such as multimedia, wireless Internet communication, and automation control techniques into a powered wheelchair system. In particular, multiple videos are streamed in real-time from an array of cameras mounted on the wheelchair, allowing wide visualization surrounding the wheelchair. By using video communication and interaction, remote users can assist to navigate a wheelchair via the Internet through wireless connections in a distant location. The experimental results show that video streaming can achieve high-quality video with the streaming rate up to 30 frames per second (fps) in real-time. The average round-trip time is under 27 milliseconds (ms). The results confirmed the effectiveness of the proposed system for tele-monitoring and remote control to achieve safer navigation tasks for wheelchair users.

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http://hdl.handle.net/10453/65195