Conferences related to External Stimuli

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions 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 postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 American Control Conference (ACC)

The ACC is the annual conference of the American Automatic Control Council (AACC, the U.S. national member organization of the International Federation for Automatic Control (IFAC)). The ACC is internationally recognized as a premier scientific and engineering conference dedicated to the advancement of control theory and practice. The ACC brings together an international community of researchers and practitioners to discuss the latest findings in automatic control. The 2020 ACC technical program will

  • 2019 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2018 Annual American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2017 American Control Conference (ACC)

    Technical topics include biological systems, vehicle dynamics and control, adaptive control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2016 American Control Conference (ACC)

    Control systems theory and practice. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2015 American Control Conference (ACC)

    control theory, technology, and practice

  • 2014 American Control Conference - ACC 2014

    All areas of the theory and practice of automatic control, including but not limited to network control systems, model predictive control, systems analysis in biology and medicine, hybrid and switched systems, aerospace systems, power and energy systems and control of nano- and micro-systems.

  • 2013 American Control Conference (ACC)

    Control systems theory and practice. Conference themes on sustainability, societal challenges for control, smart healthcare systems. Conference topics include biological systems, vehicle dynamics and control, consensus control, cooperative control, control of communication networks, control of networked systems, control of distributed parameter systems, decentralized control, delay systems, discrete-event systems, fault detection, fault-tolerant systems, flexible structures, flight control, formation flying, fuzzy systems, hybrid systems, system identification, iterative learning control, model predictive control, linear parameter-varying systems, linear matrix inequalities, machine learning, manufacturing systems, robotics, multi-agent systems, neural networks, nonlinear control, observers, optimal control, optimization, path planning, navigation, robust control, sensor fusion, sliding mode control, stochastic systems, switched systems, uncertain systems, game theory.

  • 2012 American Control Conference - ACC 2012

    All areas of control engineering and science.

  • 2011 American Control Conference - ACC 2011

    ACC provides a forum for bringing industry and academia together to discuss the latest developments in the area of Automatic Control Systems, from new control theories, to the advances in sensors and actuator technologies, and to new applications areas for automation.

  • 2010 American Control Conference - ACC 2010

    Theory and practice of automatic control

  • 2009 American Control Conference - ACC 2009

    The 2009 ACC technical program will cover new developments related to theory, application, and education in control science and engineering. In addition to regular technical sessions the program will also feature interactive and tutorial sessions and preconference workshops.

  • 2008 American Control Conference - ACC 2008

  • 2007 American Control Conference - ACC 2007

  • 2006 American Control Conference - ACC 2006 (Silver Anniversary)

  • 2005 American Control Conference - ACC 2005

  • 2004 American Control Conference - ACC 2004

  • 2003 American Control Conference - ACC 2003

  • 2002 American Control Conference - ACC 2002

  • 2001 American Control Conference - ACC 2001

  • 2000 American Control Conference - ACC 2000

  • 1999 American Control Conference - ACC '99

  • 1998 American Control Conference - ACC '98

  • 1997 American Control Conference - ACC '97

  • 1996 13th Triennial World Congress of the International Federation of Automatic Control (IFAC)


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2020 IEEE International Conference on Robotics and Automation (ICRA)

The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


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Periodicals related to External Stimuli

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Advanced Packaging, IEEE Transactions on

The IEEE Transactions on Advanced Packaging has its focus on the modeling, design, and analysis of advanced electronic, photonic, sensors, and MEMS packaging.


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computational Biology and Bioinformatics, IEEE/ACM Transactions on

Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...


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Most published Xplore authors for External Stimuli

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Xplore Articles related to External Stimuli

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Investigation of the External Stimuli Effect on Emotion with Biostatistics Methods

2018 Medical Technologies National Congress (TIPTEKNO), 2018

Perception is the awareness of objects, qualities or events that stimulate sensory organs in the process of interpreting and making sense. Perception is influenced by emotional experiences, attitudes, goals, ambience and nudity. Detection patterns; sight, hearing, touch, taste, smell, space and time perception. In this study, it was aimed to investigate the effect of external stimuli on human sensation using ...


Application of External Stimuli During Ideation: Impact of Background and Inclination Based Stimuli on Novice Minds

2017 International Conference on Transforming Engineering Education (ICTEE), 2017

Effective ideation is defined by the attributes like Novelty, Variety and quantity of ideas derived. The research aims to discover the relevance and effectiveness of External Stimuli on ideation process. Methodical examination was conducted on 100 students and empirical data was gathered in an attempt to comprehend if, novice minds can be stimulated using two distinct categories of stimuli namely, ...


External stimuli in optimised attractor neural networks for sparsely coded patterns

1993 Third International Conference on Artificial Neural Networks, 1993

Concerns the effect of external stimuli on an attractor neural net of which the external potentials remain fixed and constant during the networks retrieval time. The author starts with the ideal case in which all external stimuli have the same strength. The author firstly examines the capacity of the network to see how the maximum number of patterns that the ...


An artificial neural network model for generating periodic signals by synchronizing external stimuli

Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143), 2000

A living body has self-organized information processing systems in their nerve system. They construct various internal models of the environment autonomically. Periodic behaviors, such as circadian rhythm, locomotion of limbs in walking and tapping, come from these internal pattern generators. They obtain the periodic signal by use of external stimuli, that is, brightness of day lights and images from eyes. ...


External Stimuli Predict Financial Market Behavior From the Brain Perception Perspective

IEEE Access, 2019

The information that the brain perceives is usually consistent with a range of possible incentives. Therefore, all of our perceptual decisions are almost made in an uncertain situation. As we all know, this uncertainty affects our behavior, but how this uncertainty to modify human behavior is unclear. We attempt to establish the relationship between financial market behavior and external stimulus ...


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Educational Resources on External Stimuli

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IEEE-USA E-Books

  • Investigation of the External Stimuli Effect on Emotion with Biostatistics Methods

    Perception is the awareness of objects, qualities or events that stimulate sensory organs in the process of interpreting and making sense. Perception is influenced by emotional experiences, attitudes, goals, ambience and nudity. Detection patterns; sight, hearing, touch, taste, smell, space and time perception. In this study, it was aimed to investigate the effect of external stimuli on human sensation using EMOTIV EPOC + device which is an EEG (Electroencephalography) based device. EMOTIV EPOC is a 14 channel wireless EEG device designed for research and advanced brain computer interface (BCI) applications. The device simultaneously measures connection, excitement, attention, interest, relaxation and stress emotions with the Xavier interface program. In the data collection process, Stroop test proving that visual perception as an external stimulus precedes symbolic- semantic perception, and binaural sound directing brain signals were used. Based on the Stroop effect, a 5-stage game with Unity 3D was developed. In the developed game, 15 healthy 15 girls and 15 boys aged between 20 and 25 were collected for a total of 30 subjects for 6 different emotional states. Post-Hoc test was applied to collected data using SPSS program. As a result of the analysis of the data, it was seen that external stimuli had an effect on human perception. Affecting emotional situations has been seen to be the most attention, link building, stress, excitement, attention and relaxation respectively.

  • Application of External Stimuli During Ideation: Impact of Background and Inclination Based Stimuli on Novice Minds

    Effective ideation is defined by the attributes like Novelty, Variety and quantity of ideas derived. The research aims to discover the relevance and effectiveness of External Stimuli on ideation process. Methodical examination was conducted on 100 students and empirical data was gathered in an attempt to comprehend if, novice minds can be stimulated using two distinct categories of stimuli namely, Background based stimuli and Inclination based stimuli. Systematic analysis on results of ideation was conducted. The outcome demonstrated potential of proposed research. The investigation transpired unforeseen aspects of ideation and provides evidence on trends in ideation during different stages of research. The research explored, assessed and established new ideation improvement technique in classroom environment.

  • External stimuli in optimised attractor neural networks for sparsely coded patterns

    Concerns the effect of external stimuli on an attractor neural net of which the external potentials remain fixed and constant during the networks retrieval time. The author starts with the ideal case in which all external stimuli have the same strength. The author firstly examines the capacity of the network to see how the maximum number of patterns that the network can store increases with the introduction of the external stimuli. Secondly the quality of retrieval of the memorized patterns is studied as a function of both the storage capacity of the network and the strength of the external stimulus. Thirdly the author considers the robustness of the results to noise in order to determine the amount of noise that the network can tolerate and still perform satisfactorily, and calculations are currently being carried out.<<ETX>>

  • An artificial neural network model for generating periodic signals by synchronizing external stimuli

    A living body has self-organized information processing systems in their nerve system. They construct various internal models of the environment autonomically. Periodic behaviors, such as circadian rhythm, locomotion of limbs in walking and tapping, come from these internal pattern generators. They obtain the periodic signal by use of external stimuli, that is, brightness of day lights and images from eyes. In this study, the authors represent that a model based on multilayer type neural network with feedback connections. This neural network can construct periodic pattern generators by training using external input signal. Arbitrary periodic signal can be generated if the network trained properly. Both periodic scalar signals and periodic image signals were examined to investigate characteristic of the proposed model. After the neural network training, they generated periodic signals that are identical to training pattern autonomically. In addition, stability of the generation of periodic signals was observed even if noise was mixed in the signal generation process. This characteristic is corresponding to homeostasis of biological system. These results show a pattern generator similar to a biological system was constructed in the proposed model. This neural network model is expected to be convenient as a model to analyze the fundamental mechanism of the brain function.

  • External Stimuli Predict Financial Market Behavior From the Brain Perception Perspective

    The information that the brain perceives is usually consistent with a range of possible incentives. Therefore, all of our perceptual decisions are almost made in an uncertain situation. As we all know, this uncertainty affects our behavior, but how this uncertainty to modify human behavior is unclear. We attempt to establish the relationship between financial market behavior and external stimulus information. We adopt a new approach that is entirely different from the existing literature. This approach combines neuroscience and machine learning methods to explore how the brain perceives external stimulus information and ultimately influences financial market behavior. We improve the BP neural network in two aspects. Firstly, the output of the brain perception model serves as the input of the BP neural network. By this method, the number of input nodes of the BP neural network can be reduced to six, and the mental process behind the stimulus is simulated. Secondly, we optimize the parameters of the brain perception model and construct the optimal brain perception model for specific external stimuli. By comparing the performance of all models, the results show that the improved BP neural network is superior to other models. Firstly, in all two periods, trends are similar between the improved BP neural network and other models. Secondly, in all three samples, except for one result, the average prediction performance of the improved BP neural network is better than other models.

  • Individual identification based on resting-state EEG

    Traditional electroencephalography (EEG)-based authentication systems generally use external stimuli that require user attention and relatively long time for authentication. The aim of this study is to investigate whether EEGs measured in resting state without using external stimuli can be used to develop a biometric authentication system. Seventeen subjects participated in the experiment in which EEG data were measured while the subjects repetitively closed and opened their eyes. Changes in alpha activity (8-13 Hz) during eyes open and closed were extracted for each channel as features, and inter- and intra-subject cross-correlation was calculated for identifying each subject. Increase in alpha activity was observed for all subjects at most channels. Most importantly, spatio-spectral patterns of changed alpha activity were different between the subjects, which led to a high mean identification accuracy of 88.4 %. Our experimental results demonstrate the feasibility of the proposed authentication method based on resting state EEGs.

  • Involuntary Expression of Embodied Robot Adopting Goose Bumps

    In this paper, we propose an involuntary expression of embodied robots by adopting goose bumps. The goose bumps are caused by not only external stimuli such as cold temperature but also the internal state of the robot such as fear. For more natural anthropomorphism, the combination of involuntary and voluntary expressions should enable realistic animacy and life-like agency. The bumps on the robot's skin are generated by changing lengths of thin rods from each hole. The lengths are controlled by a servo motor which pulls nylon strings connected to the base of thin rods.

  • Do external stimuli, applied to train cultured cortical networks, disturb the balance between activity and connectivity?

    Learning, or more generally, plasticity may be studied using cultured neuronal networks on multi electrode arrays. Many protocols have been proposed to change connectivity in such networks. So far, only one of these protocols, proposed by Shahaf and Marom, aimed to change the input-output relationship of a selected connection in the network. Although the results were quite promising, the experiments appeared difficult to repeat and the protocol did not serve as a basis for wider investigation yet. Here, we repeated their protocol, and compared our ‘learning curves’ to the original results. Although in some experiments the protocol did not seem to work, we found that on average, the protocol showed a significant learning effect indeed. We frequently found learning curves that initially declined as in the original results, but then increased again before finally settling at a low level.

  • Predicting endocardial potentials from epicardial potentials for external stimuli

    A model is presented for calculating the potential field in the heart for externally applied current knowing only the epicardial potential distribution. To test the model, a comparison is made between potentials predicted by the model and those measured in dogs. The measured potentials were acquired in three dogs using left and right ventricular plunge electrodes and atrial wire electrodes during pacing from the body surface. The predicted potentials were generated using the measured epicardial potentials and the heart geometry in a boundary integral formulation treating the heart as a homogeneous isotropic volume conductor. A comparison between the measured and predicted potentials for three different stimulus electrode combinations produced a mean correlation coefficient of 0.986, and a mean RMS error of 20.4%.<<ETX>>

  • Eye movement analysis in the context of external stimuli effect

    Analysis of eye movement behavior is useful for many applications that include human computer interactions, gaze detection, human activity, motion and expression analysis. Analyzing eye movements is one of the key ways for detection of dry eye and driver's drowsiness. Dry eye is linked to lower blink rate while as driver's drowsiness is associated with prolonged eye closure. In this paper we detect blinks, blink duration, inter blink duration, eye open and closure in video streams. The statistics about blinks open and close eye duration could be helpful in any applications involving eye movements. In this paper we have discussed two out of many applications i.e. dry eye and driver's drowsiness. Display screen or driving both act as an external stimulus, that can affect eye movements. In this paper we detect adverse effect of two external stimuli on eye movements. We tend to detect dry and driver's fatigue by analyzing eye movement behavior using some statistical and non-statistical measures. System generates response in the form of alarm, if any of the two conditions are detected. Statistical methods tend to be faster than non statistical measures but non-statistical parameters show better performance.



Standards related to External Stimuli

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