D2.1 Requirements and Specification - CORBYS

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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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