A visual motion detecting module for dragonfly-controlled robots

Pham, TT; Higgins, CM

A visual motion detecting module for dragonfly-controlled robots

Pham, TT

Higgins, CM

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Publication Type:: Conference Proceeding
Citation:: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014, pp. 1666 - 1669
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Pham, TT https://orcid.org/0000-0002-7153-0135	en_US
dc.contributor.author	Higgins, CM	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014, 2014, pp. 1666 - 1669	en_US
dc.identifier.isbn	9781424479290	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121278
dc.description.abstract	© 2014 IEEE. When imitating biological sensors, we have not completely understood the early processing of the input to reproduce artificially. Building hybrid systems with both artificial and real biological components is a promising solution. For example, when a dragonfly is used as a living sensor, the early processing of visual information is performed fully in the brain of the dragonfly. The only significant remaining tasks are recording and processing neural signals in software and/or hardware. Based on existing works which focused on recording neural signals, this paper proposes a software application of neural information processing to design a visual processing module for dragonfly hybrid bio-robots. After a neural signal is recorded in real-time, the action potentials can be detected and matched with predefined templates to detect when and which descending neurons fire. The output of the proposed system will be used to control other parts of the robot platform.	en_US
dc.relation.ispartof	2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014	en_US
dc.relation.isbasedon	10.1109/EMBC.2014.6943926	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.mesh	Robotics	en_US
dc.subject.mesh	Algorithms	en_US
dc.subject.mesh	Signal Processing, Computer-Assisted	en_US
dc.subject.mesh	Software	en_US
dc.title	A visual motion detecting module for dragonfly-controlled robots	en_US
dc.type	Conference Proceeding
utslib.for	0913 Mechanical 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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

© 2014 IEEE. When imitating biological sensors, we have not completely understood the early processing of the input to reproduce artificially. Building hybrid systems with both artificial and real biological components is a promising solution. For example, when a dragonfly is used as a living sensor, the early processing of visual information is performed fully in the brain of the dragonfly. The only significant remaining tasks are recording and processing neural signals in software and/or hardware. Based on existing works which focused on recording neural signals, this paper proposes a software application of neural information processing to design a visual processing module for dragonfly hybrid bio-robots. After a neural signal is recorded in real-time, the action potentials can be detected and matched with predefined templates to detect when and which descending neurons fire. The output of the proposed system will be used to control other parts of the robot platform.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/121278