Conferences related to Animal behavior

Back to Top

2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference will cover diverse topics ranging from biomedical engineering to healthcare technologies to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions and oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by IEEE Xplore and Medline/PubMed.

  • 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The conference program will consist of plenary lectures, symposia, workshops and invited sessions of the latest significant findings and developments in all the major fields of biomedical engineering. Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and poster sessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE.

  • 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The Annual International Conference of the IEEE Engineering in Medicine and Biology Society covers a broad spectrum of topics from biomedical engineering and physics to medical and clinical applications. The conference program will consist of invited plenary lectures, symposia, workshops, invited sessions, oral and poster sessions of unsolicited contributions. All papers will be peer reviewed and accepted papers of up to 4 pages will appear in the Conference Proceedings and be indexed by PubMed and EI. Prop

  • 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc.

  • 2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2009 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The annual conference of EMBS averages 2000 attendees from over 50 countries. The scope of the conference is general in nature to focus on the interdisciplinary fields of biomedical engineering. Themes included but not limited to are: Imaging, Biosignals, Biorobotics, Bioinstrumentation, Neural, Rehabilitation, Bioinformatics, Healthcare IT, Medical Devices, etc

  • 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

    The general theme of EMBC'08 is "Personalized Healthcare through Technology", covering a broad spectrum of topics from biomedical and clinical engineering and physics to medical and clinical applications. Transfer of research results from academia to industry will also be a focus of the conference.

  • 2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

  • 2006 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

  • 2005 27th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)


2014 5th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob)

Theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. Analysis of biological systems from a biomechatronic point of view. Design and fabrication of bio-inspired and biomimetic machines. Robotic and mechatronic devices and systems for prevention, diagnosis, surgery, prosthetics, rehabilitation and personal assistance.

  • 2012 4th IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2012)

    Theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. Analysis of biological systems from biomechatronic point of view. Design and fabrication of bio-inspired machines. Robotic and mechatronic devices and systems for prevention, diagnosis, surgery, prosthetics, rehabilitation and personal assistance.

  • 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2010)

    Theoretical and experimental challenges posed by the application of robotics and mechatronics in medicine and biology. Analysis of biological systems from a biomechatronic point of view. Design and fabrication of bio-inspired machines and systems for diagnosis, surgery, prosthetics, rehabilitation and personal assistance.

  • 2008 2nd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2008)

    The main focus of Biorobotics is to analyze biological systems from a "biomechatronic" point of view, trying to understand the scientific and engineering principles underlying their extraordinary performance. This profound understanding of how biological systems work, behave and interact can be used for two main objectives: to guide the design and fabrication of novel, high performance bio-inspired machines and systems, for many different potential applications; and to develop (nano, micro, macro) novel dev

  • 2006 1st IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics (BioRob 2006)


2012 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2012)

Innovative results on multisensor fusion, sensor/actuator networks, distributed and cloud architectures, bio-inspired systems and evolutionary approaches, methods of cognitive sensor fusion, Baysian approaches, fuzzy systems and neural networks, biomedical applications, autonomous vehicles (land, sea, air), localization, tracking, SLAM, 3D perception, manipulation with multifinger hands, robotics, micro/nano systems, information fusion, sensors, multimodal integration in HCI and HRI, etc.


2008 Sixth International Conference on Ant Colony Optimization and Swarm Intelligence (ANTS 2008)

Swarm intelligence is a relatively new discipline that deals with the study of self-organizing processes both in nature and in artificial systems. Researchers in ethology and animal behavior have proposed many models to explain interesting aspects of social insect behavior such as self-organization and shape-formation. Recently, algorithms inspired by these models have been proposed to solve difficult computational problems. An example of a particularly successful research direction in swarm intelligence i


2007 IEEE International Conference on Integration Technology (ICIT)

All related areas of integration technology, especially robotics, sensors, biomedical engineering, automobile electronics, mobile and high-performance computing, networks & etc.



Periodicals related to Animal behavior

Back to Top

Evolutionary Computation, IEEE Transactions on

Papers on application, design, and theory of evolutionary computation, with emphasis given to engineering systems and scientific applications. Evolutionary optimization, machine learning, intelligent systems design, image processing and machine vision, pattern recognition, evolutionary neurocomputing, evolutionary fuzzy systems, applications in biomedicine and biochemistry, robotics and control, mathematical modelling, civil, chemical, aeronautical, and industrial engineering applications.


Multimedia, IEEE

IEEE Multimedia Magazine covers a broad range of issues in multimedia systems and applications. Articles, product reviews, new product descriptions, book reviews, and announcements of conferences and workshops cover topics that include hardware and software for media compression, coding and processing; media representations and standards for storage, editing, interchange, transmission and presentation; hardware platforms supporting multimedia applications; operating systems suitable ...


Oceanic Engineering, IEEE Journal of

Bayes procedures; buried-object detection; dielectric measurements; Doppler measurements; geomagnetism; sea floor; sea ice; sea measurements; sea surface electromagnetic scattering; seismology; sonar; acoustic tomography; underwater acoustics; and underwater radio communication.


Proceedings of the IEEE

The most highly-cited general interest journal in electrical engineering and computer science, the Proceedings is the best way to stay informed on an exemplary range of topics. This journal also holds the distinction of having the longest useful archival life of any EE or computer related journal in the world! Since 1913, the Proceedings of the IEEE has been the ...




Xplore Articles related to Animal behavior

Back to Top

The development of a low cost animal behavior measurement system

Y. C. Li; M. S. Young; S. McPhee; G. Johan; S. L. Jen Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999

In this paper, we introduce a low-cost system for animal behavior measurement. This system includes four animal experiment cages, each cage being attached to a very sensitive vibration sensor. The output signal of each vibration sensor is connected to a four-channel data acquisition system. The vibration sensor we adopt here is modified from a low cost piezoelectric buzzer. The self-made ...


Video-based Animal Behavior Analysis From Multiple Cameras

Xinwei Xue; Thomas C. Henderson 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006

It has become increasingly popular to study animal behaviors with the assistance of video recordings. The traditional manual human video annotation is a time and labor consuming process and, the observation results vary between different observers. Hence an automated video processing and behavior analysis system is desirable. We propose a framework for automatic video based behavior analysis systems, which consists ...


Improving the artificial odor and gas source localization system using the semiconductor gas sensor based on RF communication

W. Jatmiko; B. Kusumoputro; Yuniarto Asia-Pacific Conference on Circuits and Systems, 2002

Locating gas leaks, chemical hazard sources and smuggled narcotics are difficult tasks to be done by conventional systems, because they usually exploit human experts or dog trackers to search and solve the problems. An electronic system that can perform such tracking automatically, constantly and accurately is expected to replace these duties. This paper describes how an artificial system with such ...


High throughput quantification system for egg populations in caenorhabditis elegans

Mostafa Mohamed; Brinda Prasad; Wael Badawy 2008 IEEE International Symposium on Circuits and Systems, 2008

C. elegans offers the promise of understanding the mechanisms underlying animal behavior at the molecular and cellular levels. This paper presents an application-specific, complete quantification system to obtain population statistics of Caenorhabditis elegans (C. elegans) eggs that is accurate and fast compared to currently used manual techniques. The system uses a custom- built acquisition stage and processing stage. The proposed ...


A story of the artificial ant: discovering the correct bias for learning

I. Kuschchu Evolutionary Computation, 2003. CEC '03. The 2003 Congress on, 2003

The artificial ant problem is one of the benchmark problems where an artificial ant is evolved to learn to collect a set of food pieces placed along a particular trail. The degree of generalisation of the learned behaviours of the ant to similar trails has been an important issue of concern among several researchers. We present series of experiments and ...


More Xplore Articles

Educational Resources on Animal behavior

Back to Top

eLearning

The development of a low cost animal behavior measurement system

Y. C. Li; M. S. Young; S. McPhee; G. Johan; S. L. Jen Proceedings of the First Joint BMES/EMBS Conference. 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Annual Fall Meeting of the Biomedical Engineering Society (Cat. N, 1999

In this paper, we introduce a low-cost system for animal behavior measurement. This system includes four animal experiment cages, each cage being attached to a very sensitive vibration sensor. The output signal of each vibration sensor is connected to a four-channel data acquisition system. The vibration sensor we adopt here is modified from a low cost piezoelectric buzzer. The self-made ...


Video-based Animal Behavior Analysis From Multiple Cameras

Xinwei Xue; Thomas C. Henderson 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2006

It has become increasingly popular to study animal behaviors with the assistance of video recordings. The traditional manual human video annotation is a time and labor consuming process and, the observation results vary between different observers. Hence an automated video processing and behavior analysis system is desirable. We propose a framework for automatic video based behavior analysis systems, which consists ...


Improving the artificial odor and gas source localization system using the semiconductor gas sensor based on RF communication

W. Jatmiko; B. Kusumoputro; Yuniarto Asia-Pacific Conference on Circuits and Systems, 2002

Locating gas leaks, chemical hazard sources and smuggled narcotics are difficult tasks to be done by conventional systems, because they usually exploit human experts or dog trackers to search and solve the problems. An electronic system that can perform such tracking automatically, constantly and accurately is expected to replace these duties. This paper describes how an artificial system with such ...


High throughput quantification system for egg populations in caenorhabditis elegans

Mostafa Mohamed; Brinda Prasad; Wael Badawy 2008 IEEE International Symposium on Circuits and Systems, 2008

C. elegans offers the promise of understanding the mechanisms underlying animal behavior at the molecular and cellular levels. This paper presents an application-specific, complete quantification system to obtain population statistics of Caenorhabditis elegans (C. elegans) eggs that is accurate and fast compared to currently used manual techniques. The system uses a custom- built acquisition stage and processing stage. The proposed ...


A story of the artificial ant: discovering the correct bias for learning

I. Kuschchu Evolutionary Computation, 2003. CEC '03. The 2003 Congress on, 2003

The artificial ant problem is one of the benchmark problems where an artificial ant is evolved to learn to collect a set of food pieces placed along a particular trail. The degree of generalisation of the learned behaviours of the ant to similar trails has been an important issue of concern among several researchers. We present series of experiments and ...


More eLearning Resources

IEEE-USA E-Books

  • A Bottom-Up Mechanism for Behavior Selection in an Artificial Creature

    In this paper we propose a mechanism for motivational competition and selection of behavior. One important characteristic of this mechanism is that the selection of behavior is modelled as an emergent property of a parallel process. This in contrast with mechanisms for behavior selection and motivational competition proposed earlier, which are based on a hierarchical. preprogrammed control structure. We show that selection of behavior can be modeled in a bottom-up way using an activation/inhibition dynamics among the different behaviors that can be selected. There is no weighing up of behaviors in a cognitive manner and neither are hierarchical or bureaucratic structures imposed. The paper elaborates upon the results we obtained with simulated creatures based on this mechanism. It draws parallels between characteristics observed in animal behavior and characteristics demonstrated by our artificial creatures. Examples are: displacement behavior, opportunistic behavior, fatigue, selective attention, and so on.

  • Contributors

    The effort to explain the imitative abilities of humans and other animals draws on fields as diverse as animal behavior, artificial intelligence, computer science, comparative psychology, neuroscience, primatology, and linguistics. This volume represents a first step toward integrating research from those studying imitation in humans and other animals, and those studying imitation through the construction of computer software and robots.Imitation is of particular importance in enabling robotic or software agents to share skills without the intervention of a programmer and in the more general context of interaction and collaboration between software agents and humans. Imitation provides a way for the agent -- -whether biological or artificial-- to establish a "social relationship" and learn about the demonstrator's actions, in order to include them in its own behavioral repertoire. Building robots and software agents that can imitate other artificial or human agents in an appropriate way involves complex problems of perception, experience, context, and action, solved in nature in various ways by animals that imitate.

  • Toward Synthesizing Artificial Neural Networks that Exhibit Cooperative Intelligent Behavior: Some Open Issues in Artificial Life

    The tasks that animals perform require a high degree of intelligence. Animals forage for food, migrate, navigate, court mates, rear offspring, defend against predators, construct nests, and so on. These tasks commonly require social interaction/cooperation and are accomplished by animal nervous systems, which are the result of billions of years of evolution and complex developmental/learning processes. The Artificial Life (AL) approach to synthesizing intelligent behavior is guided by this biological perspective. In this article we examine some of the numerous open problems in synthesizing intelligent animal behavior (especially cooperative behavior involving communication) that face the field of AL, a discipline still in its infancy.

  • How insects learn about the sun's course: alternative modeling approaches

    One of the major puzzles in animal behavior, arid a major problem to be solved in the design of robots, concerns how spatial patterns in the environment can be encoded internally and used for navigation in a complex natural environment. Most work on this issue has concerned landmark learning. This paper deals with a phenomenon of spatial learning that is at least as widespread in the animal world as landmark learning, but has received comparatively little attention. The phenomenon is the ability to learn the course of the sun relative to earth-bound features, and thus to use the sun as a true compass. After reviewing behavioral evidence from bees and ants, two particularly well studied species, we evaluate the applicability of symbolic and connectionist approaches to modeling the internal representation of this environmental pattern.

  • Evolving Imitating Agents and the Emergence of a Neural Mirror System

    Imitation is a highly complex cognitive process, employing vision, perception, representation, memory and motor control. The underlying mechanisms that give rise to imitative behavior have attracted a lot of attention in recent years and have been the subject of research in various disciplines, from neuroscience to animal behavior and human psychology. In particular, studies in monkeys and humans have discovered a neural mirror system that demonstrates an internal correlation between the representations of perceptual and motor functionalities. In contradistinction to previous engineering-based approaches, we focus on the evolutionary origins of imitation and present a novel framework for studying the emergence of imitative behavior. We successfully develop evolutionary adaptive autonomous agents that spontaneously demonstrate imitative learning, facilitating a comprehensive study of the emerging underlying neural mechanisms. Interestingly, some of these agents are found to embody a neural "mirror" device analogous to those identified in biological systems. Further analysis of these agents' networks reveals complex dynamics, combining innate perceptual-motor coupling with acquired context-action associations, to accomplish the required task.

  • Index

    The effort to explain the imitative abilities of humans and other animals draws on fields as diverse as animal behavior, artificial intelligence, computer science, comparative psychology, neuroscience, primatology, and linguistics. This volume represents a first step toward integrating research from those studying imitation in humans and other animals, and those studying imitation through the construction of computer software and robots.Imitation is of particular importance in enabling robotic or software agents to share skills without the intervention of a programmer and in the more general context of interaction and collaboration between software agents and humans. Imitation provides a way for the agent -- -whether biological or artificial-- to establish a "social relationship" and learn about the demonstrator's actions, in order to include them in its own behavioral repertoire. Building robots and software agents that can imitate other artificial or human agents in an appropriate way involves complex problems of perception, experience, context, and action, solved in nature in various ways by animals that imitate.

  • The Experimental Study and Computer Simulation of Fish Behavior in the Uniform Environment

    We have studied experimentally the carp exploratory behavior in the circular corridor under uniform illumination and in the absence of external landmarks. The behavior was not uniform despite the uniformity of environment The alternation of two modes of behavior, search (accompanied by high turn frequency) and ranging (with few or no turns), was observed. The existence of distinct modes manifested itself in the positive correlation between turn frequencies at successive time intervals, as well as in abrupt switching between high and low turn frequencies. We developed a model based on the one- dimension map: X n = λn X n−1 (1X n−1), where X is the tendency to turn, and parameter λ is influenced by Gaussian white noise caused by spontaneous nervous activity. There was a correlation between successive values of the tendency, as well as switches from series of low values to series of high ones under influence of the noise. The behavior of the model is the case of noise- induced phase transitions and matches experimental data qualitatively. It is concluded that a noise generated by the nervous system can play a role in the shaping of animal behavior.

  • Modeling Adaptive Autonomous Agents

    One category of research in Artificial Life is concerned with modeling and building so-called adaptive autonomous agents, which are systems that inhabit a dynamic, unpredictable environment in which they try to satisfy a set of time-dependent goals or motivations. Agents are said to be adaptive if they improve their competence at dealing with these goals. based on experience. Autonomous agents constitute a new approach to the study of Artificial Intelligence (AI), which is highly inspired by biology, in particular ethology, the study of animal behavior. Research in autonomous agents has brought about a new wave of excitement into the field of AI. This paper reflects on the state of the art of this new approach. It attempts to extract its main ideas, evaluates what contributions have been made so far, and identifies its current limitations and open problems.

  • Appendix

    The effort to explain the imitative abilities of humans and other animals draws on fields as diverse as animal behavior, artificial intelligence, computer science, comparative psychology, neuroscience, primatology, and linguistics. This volume represents a first step toward integrating research from those studying imitation in humans and other animals, and those studying imitation through the construction of computer software and robots.Imitation is of particular importance in enabling robotic or software agents to share skills without the intervention of a programmer and in the more general context of interaction and collaboration between software agents and humans. Imitation provides a way for the agent -- -whether biological or artificial-- to establish a "social relationship" and learn about the demonstrator's actions, in order to include them in its own behavioral repertoire. Building robots and software agents that can imitate other artificial or human agents in an appropriate way involves complex problems of perception, experience, context, and action, solved in nature in various ways by animals that imitate.

  • Towards a comprehensive Alife-model of the evolution of the nervous system and adaptive behavior

    The potentials and tools that are offered by Alife for biology in modeling the nervous system and animal behavior are mainly unexploited. There is no consistent Alife model of the biological evolution of the nervous system as yet. whereas the modeling tools are at hand and their application for this purpose seems evident. In a biologically grounded model we have to make every possible effort to use principles known from biology, and to minimize the arbitrarily employed organizing rules. The aim of our work is to create a biologically accurate Alife model of the formation and evolution of the nervous system in connection with the adaptive behavior. In this article we concentrate on the structure of the modeled genome, which is the basis of playing a double biological role: to ensure an open-ended evolutionary process, as well as to direct the ontogenesis. The main questions we examined are: what are the basic rules of construction that are sufficient to create a workable nervous system and how can we model them in a biologically realistic way?



Standards related to Animal behavior

Back to Top

No standards are currently tagged "Animal behavior"


Jobs related to Animal behavior

Back to Top