Jane Brooks Zurn

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This paper describes a non-invasive video tracking system for measurement of rodent behavioral activity under nearinfrared (NIR) illumination. This novel method allows tracking of motion in the dark, when rodents are generally most active, and also under visible light. Results of the system were validated through comparison with simultaneously recorded data(More)
This paper describes a noninvasive video tracking system for measurement of rodent behavioral activity under near-infrared (NIR) illumination, where the rodent is of a similar color to the background. This novel method allows position tracking in the dark, when rodents are generally most active, or under visible light. It also improves current video(More)
Position tracking of rodents is useful and necessary to help elucidate the behavioral and physiological effects of genetic mutations, drug action, and environmental stimuli. In this paper we describe a real-time system developed to allow continuous overhead video monitoring of rodent behavior in a home cage environment, either in a daylight condition(More)
Robotica / Volume 30 / Issue 02 / March 2012, pp 315 332 DOI: 10.1017/S0263574711000580, Published online: 24 June 2011 Link to this article: http://journals.cambridge.org/abstract_S0263574711000580 How to cite this article: Jane Brooks Zurn, Yuichi Motai and Scott Vento (2012). Self-reproduction for articulated behaviors with dual humanoid robots using(More)
We implemented a method to improve the accuracy of a genetic program (GP) for classifying an epistatic data population by limiting the number of population features passed to the GP. An epistatic population was generated and used, where the correct combination of “true” features was necessary in order to correctly classify each member of the population. Our(More)
A new framework for behavioral learning by multiple humanoid robots using visual motion capture is proposed and analyzed. This novel approach investigates the ability of each robot observer to continuously repeat the actions of the robot immediately preceding it. The importance of this approach is that it removes the need for non-visual interaction between(More)
Downloaded: 01 Feb 2012 IP address: 128.172.52.154 Robotica (2012) volume 30, pp. 315–332. © Cambridge University Press 2011. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike licence <http://creativecommons.org/licenses/ by-nc-sa/2.5/>.(More)
We present a novel approach to collecting and distributing social media data in web service projects using both clients and servers for real-time analysis, ultimately providing an inexpensive and scalable method of a quality that has not been available to date. Current challenges to social data mining include vendor enforced API limits and infrastructure(More)
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