D2.1 Requirements and Specification - CORBYS

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D2.1 Requirements and Specification OFRO – Mobile outdoor surveillance at the highest level [online] Available at: [Accessed 20 July 2011] OpenEEG, n.d. BrainBay – an OpenSource Biosignal project. [online] Available at [Accessed 13 May 2011]. OpenEEG, n.d. BWView -- recorded brain-wave viewing application. [online] Available at [Accessed 13 May 2011]. OpenEEG, n.d. Welcome to the OpenEEG project. [online] Available at http://openeeg.sourceforge.net/doc/ [Accessed 13 May 2011]. Orchard, R. (2001). Fuzzy Reasoning in Jess: The FuzzyJ Toolkit and FuzzyJess, Proceedings of the Third International Conference on Enterprise Information Systems (ICEIS), pp. 553-542 Palmer, K.T., Walsh, K., Bendall, H., Cooper, C., Coggon, D. (2000). Back pain in Britain: comparison of two prevalence surveys at an interval of 10 years. BMJ; 320:1577-1578. Parunak, H. V. D., Brueckner, S., and Savit, R. (2004). Universality in multi-agent systems. In Proceedings of Third International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2004), pages 930–937. IEEE. Parush, N., Tishby, N., and Bergman, H. (2011). Dopaminergic balance between reward maximization and policy complexity. Frontiers in Systems Neuroscience. Passino, K. M., Yurkovich, S., (1998). Fuzzy control. Menlo Park: Addison Wesley Longman. Paul, C. (2006). Morphological computation: A basis for the analysis of morphology and control requirements. Robotics and Autonomous Systems, 54(8):619–630. Pearl, J. (2000). Causality: Models, Reasoning and Inference. Cambridge University Press, Cambridge, UK. Peters, B.O., Pfurtscheller, G. and Edlinger, G. (2001). Automatic di erentiation of multichannel eeg signals. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 48(1). Peters, J., Janzing, D., and SchÃlkopf, B. (2010). Identifying cause and effect on discrete data using additive noise models. In Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), pages 1–8. Peters, J., Janzing, D., Gretton, A., and SchÃlkopf, B. (2009). Detecting the direction of causal time series. In Danyluk, A., Bottou, L., and Littman, M. L., editors, Proceedings of the 26th International Conference on Machine Learning (ICML 2009), pages 801–808, New York, NY. ACM Press. Petridis, M., Knight, B. (2001). A blackboard architecture for a hybrid CBR system for scientific software. Pfeifer, R. and Bongard, J. (2007). How the Body Shapes the Way We think: A New View of Intelligence. Bradford Books. Pfurtscheller, G. et all. (2000). Brain oscillations control hand orthosis in a tetraplegic. Neuroscience Letters, 292(3):211–214. Pfurtscheller, G., Flotzinger, D. and Neuper, C. (1994). Di erentiation between finger, toe and tongue movement in man based on 40 hz eeg. Electroenceph. Clin. Neurophysiol., 90:456–460. Pfurtscheller, G., Neuper, C., Andrew, C. and Edlinger, G. (1997). Foot and hand area mu rhythms. Int J Psychophysiol, 26:121–35. Picard, R.W., Papert, S., Bender, W., Blumberg, B., Breazeal, C., Cavallo, D., Machover, T., Resnick, M., Roy, D. and Strohecker, C. (2004). Affective learning – a manifesto, BT Technology Journal 22 (4), pp. 253-269 Poggendorf, I., (2004) Einsatz eines Serviceroboters zur Automatisierung der Probenentnahem und des Probenmanagements während Kultivierung tierischer Zellen in einer Technikumsumgebung, Universität Bielefeld 192
D2.1 Requirements and Specification Poh, M-Z, Swenson, N.C. and Picard, R.W. (2010). A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity, IEEE Transactions on Biomedical Engineering, vol. 57, no. 5, pp.1243-52. Polani, D. (2009). Information: Currency of life? HFSP Journal, 3(5):307–316. Polani, D., Nehaniv, C., Martinetz, T., and Kim, J. T. (2006). Relevant information in optimized persistence vs. progeny strategies. In (Rocha et al., 2006), pages 337–343. Polani, D., Sporns, O., and Lungarella, M. (2007). How information and embodiment shape intelligent information processing. In Lungarella, M., Iida, F., Bongard, J., and Pfeifer, R., editors, Proc. 50th Anniversary Summit of Artificial Intelligence, pages 99–111. Springer-Verlag: Berlin, Heidelberg, New York. Popescu, F., Fazli, S., Badower, Y., Blankertz and Mller, KR. (2007). Single trial classification of motor imagination using 6 dry eeg electrodes. PLoS ONE, 2(2). Porr, B., von Ferber, C., and Wörrgötter, F. (2003). Iso learning approximates a solution to the inversecontroller problem in an unsupervised behavioral paradigm. Neural Computation, 15(4):865–884. Prevalence of disability and long-standing health problems (unintentional injuries only, population aged 15 to 64). Labour Force Survey. Eurostat, 2002. Prokopenko, M., Gerasimov, V., and Tanev, I. (2006a). Evolving spatiotemporal coordination in a modular robotic system. In Nolfi, S., Baldassarre, G., Calabretta, R., Hallam, J. C. T., Marocco, D., Meyer, J.-A., Miglino, O., and Parisi, D., editors, From Animals to Animats 9: 9th International Conference on the Simulation of Adaptive Behavior (SAB 2006), Rome, Italy, volume 4095 of Lecture Notes in Computer Science, pages 558–569, Berlin, Heidelberg. Springer. Prokopenko, M., Gerasimov, V., and Tanev, I. (2006b). Measuring spatiotemporal coordination in a modular robotic system. In (Rocha et al., 2006), pages 185–191. PRWeb, http://www.prweb.com/releases/orthopedic_prosthetics/knee_prosthesis/prweb8072141.htm Friday, May 20, 2011 Global Orthopedic Prosthetics Market to Reach US$19.4 Billion by 2015, According to a New Report by Global Industry Analysts, Inc. San Jose, CA (Vocus/PRWEB) January 19, 2011 PRWeb, http://www.wheelchairbilling.com/a262996-world-wheelchairs-market-to-exceed-4-2.cfm San Jose, CA (PRWEB) March 6, 2008 Ramoser, H., Muller-Gerking, J. and Pfurtscheller, G. (2000). Optimal spatial filtering of single trial eeg during imagined hand movement. IEEE Trans. Rehab. Eng., 8(4):441–446. Rani, P., Sarkar, N., Smith, C.A., and Kirby, L.D. (2004). Anexity Detecting Robotic System – Towards Implicit Human-Robot Collaboration, Robotica, Volume 22, pp. 85-95. Rani, P., Sims, J., Brackin, R., and Sarkar, N. (2002). Online Stress Detection using Psychological Signal for Implicit Human-Robot Cooperation, Robotica, Volume 20 (6) pp. 673-686. Rebsamen, B., Teo, C.L., Zeng, Q., Ang, M.H., Burdet, E., Guan, C., Zhang, H., and Laugier, C. (2007). Controlling a Wheelchair Indoors Using Thought. IEEE Intelligent Systems, 07:1541–1672. Reddy, D. R., Erman, L., Neely, R. (1973). A model and a system for machine recognition of speech, IEEE Transactions on Audio and Electroacoustics, vol. AU-21, 229-238. Reinkensmeyer , D., Aoyagi, D., Emken, J., Galvez, J., Ichinose, W., Kerdanyan, G., Maneekobkunwong, S., Minakata, K., Nessler, J., Weber, R., Roy, R., de Leon, R., Bobrow, J., Harkema, S., and Edgerton, V. (2006). Tools for understanding and optimizing robotic gait training, Journal of Rehabilitation Research & Development, vol. 43, no. 5, pp. 657-670. Reinkensmeyer, D., Galvez, J., Marchal, L., Wolbrecht, E., and Bobrow, J. (2007). Some key problems for robot-assisted movement therapy research: a perspective from the University of California at Irvine, in Proceedings of the IEEE 10th International Conference on Rehabilitation Robotics, pp. 1009-1015. Reisman, D. S., Wityk, R., Silver, K., and Bastian, A. J. (2007). Locomotor adaptation on a split-belt treadmill can improve walking symmetry post-stroke, Brain, vol. 130, no. 7, pp. 1861-1872. 193
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