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D2.1 Requirements and Specification Howard, C., Stumptner, M. (2005). Situation Assessments Using Object Oriented Probabilistic Relational Models, Proceedings of the 7th International Conference on Information Fusion, Vol. 2 Howard, R. A. (1966). Information value theory. IEEE Transactions on Systems Science and Cybernetics, SSC-2:22–26. Hoyer, P. O., Janzing, D., Mooij, J. M., Peters, J., and SchÃlkopf, B. (2009). Nonlinear causal discovery with additive noise models. In Koller, D., Schuurmans, D., Bengio, Y., and Bottou, L., editors, Advances in Neural Information Processing Systems 21: Proceedings of the 2008 Conference, pages 689–696, Red Hook, NY. Curran. Huang, R.-S., Jung, T.-P., and Makeig, S. (2007). Multi-scale eeg brain dynamics during sustained attention tasks. Proceedings of the 2007 IEEE International Conference on Acoustics, 4:1173– 1176. Hunt, J. (2002). Blackboard Architectures. JayDee Technology Ltd. 2002. Hurtig, T., Jokinen, K. (2006). Modality Fusion in a Route Navigation System, Workshop on Effective Multimodal Dialogue Interface in International Conference on Intelligent User Interfaces, Sydney, Australia. Ikeda, A., Lunders, H.O., Collura, T.F., Burgess, R.C., Morris, H.H., Hamano T., et al. (1996). Subdural potentials at orbitofrontal and mesial prefrontal areas accompanying anticipation and decision making in humans: a comparison with bereitschaftspotential. Electroenceph Clin Neurophysiol, 98:206–12. Ingram, H.A., van Donkelaar, P., Cole, J., Vercher, J.L., Gauthier, G.M. and Miall, R.C. (2000). The role of proprioception and attention in a visuomotor adaptation task. Exp Brain Res, 132:114126. Injuries in the European Union Statistics Summary 2005-2007, Robert Bauer, Monica Steiner (KfV), European Commission, Health and Consumers (DG Sanco) Vienna November 2009 Israel, J., Campbell, D., Kahn, J., and Hornby, T. (2006). Metabolic costs and muscle activity patterns during robotic- and therapist-assisted treadmill walking in individuals with incomplete spinal cord injury, Physical Therapy, vol. 86, no. 11, pp. 1466-78. Iturrate, I., Antelis, J., Kubler, A., and Minguez, J. . Non-Invasive Brain-Actuated Wheelchair based on a P300 Neurophysiological Protocol and Automated Navigation. IEEE Transactions on Robotics (in press). Iturrate, I., Montesano, L., and Minguez, J. (2010). Elicitation and Online Recognition of Error-Related Potentials During Observation of Robot Operation. In Annual Conference of IEEE Engineering in Medicine and Biology Society (EMBS). Iturrate, I., Montesano, L., and Minguez, J. (2010). Robot Reinforcement Learning using EEG-based reward signals. In IEEE International Conference on Robotics and Automation (ICRA), 2010. Ivansson, J. (2002). Situation Assessment in a Stochastic Environment using Bayesian Networks, Masters Thesis at Department of Electrical Engineering, Linköping University, Ives, J. R. and Schomer, D. L. (1988). A 6-pole filter for improving the readability of muscle contaminated eegs. Electroencephalogr. Clin. Neurophysiol., 69(5):486–490. Jacko, J.A., Sears, A. (2002). The Human-computer Interaction Handbook: Fundamentals, Evolving Technologies and Emerging Applications, 2nd ed. CRC. Jain, A., Hong, L., and Kulkarni, Y. (1999). A Multimodal Biometric System Using Fingerprint, Face and Speech, Proceedings of 2nd Int'l Conference on Audio- and Video-based Biometric Person Authentication, Washington D.C., pp. 182-187 Jezernik, S., Colombo, G., and Morari, M. (2004). Automatic gait-pattern adaptation algorithms for rehabilitation with a 4-DOF robotic orthosis, IEEE Transactions on Robotics and Automation, vol. 20, no. 3, pp. 574-582. Jung, T., Polani, D., and Stone, P. (2011). Empowerment for continuous agent-environment systems. Adaptive Behaviour. Published online 13. January 2011. Jung, T.P., Makeig, S., Stensmo, M. and Sejnowski, T.J. (1997). Estimating alertness from the eeg power spectrum. IEEE Transactions on Biomedical Engineering, 44(1):60–69. 186
D2.1 Requirements and Specification Kaplan, F. and Oudeyer, P.-Y. (2004). Maximizing learning progress: an internal reward system for development. In Iida, F., Pfeifer, R., Steels, L., and Kuniyoshi, Y., editors, Embodied Artificial Intelligence, volume 3139 of LNAI, pages 259–270. Springer. Kawamura, K., Dodd, W., Ratanaswasd, P. (2004). Robotic body-mind integration: next grand challenge in robotics, in Proceedings of the 2004 IEEE International Workshop on Robot and Human Interactive Communication (Kurashiki, Okayama, Japan), pp. 23–28. Kawamura, K., Peters, A.R., Wilkes, M.D., Alford, A.W, Rogers, T.E. (2000). ISAC: Foundations in human-humanoid interaction. IEEE Intelligent Systems 15 (4): 38–45. Kawamura, K., Peters, R.A., Bodenheimer, R.E., Sarkar, N., Park, J., Clifton, C.A., Spratley, A.W., Hambuchen, K.A. (2004). A parallel distributed cognitive control system for a humanoid robot. International Journal of Humanoid Robotics 1 (1): 65–93. Kawato, M., (1999). Internal models for motor control and trajectory planning. Current Opinion in Neurobiology, 9:718-727. Kazerooni, H. and Steger, R. (2006). The Berkeley Lower Extremity Exoskeleton, Journal of Dynamic Systems, Measure- ment and Control, vol. 128, pp. 14-25. Kelly, J. L. (1956). A new interpretation of information rate. Bell System Technical Journal, 35:917–926. Kelly, S.P., Docktree, P., Reilly, R.B., and Robertson, I.H. (2003). Eeg alpha power and coherence time courses in a sustained attention task. Proceedings of the International Conference on Neural Engineering, pages 83–86. Kieras, D. E., Meyer, D. E., (1997). An overview of the EPIC architecture for cognition and performance with application to human–computer interaction. Human-Computer Interaction, 12(4): 391–438. Kirstein, K.-U., Sedivy, J., Salo ,T., Hagleitner, C., Vancura, T., and Hierlemann, A. (2005). A CMOSbased Tactile Sensor for Continuous Blood Pressure Monitoring, Proceedings IEEE Conference, Design, Automation and Test in Europe. Klyubin, A. S., Polani, D., and Nehaniv, C. L. (2004). Organization of the information flow in the perception-action loop of evolved agents. In Proceedings of 2004 NASA/DoD Conference on Evolvable Hardware, pages 177–180. IEEE Computer Society. Klyubin, A. S., Polani, D., and Nehaniv, C. L. (2005a). All else being equal be empowered. In Advances in Artificial Life, European Conference on Artificial Life (ECAL 2005), volume 3630 of LNAI, pages 744–753. Springer. Klyubin, A. S., Polani, D., and Nehaniv, C. L. (2005b). Empowerment: A universal agent-centric measure of control. In Proc. IEEE Congress on Evolutionary Computation, 2-5 September 2005, Edinburgh, Scotland (CEC 2005), pages 128–135. IEEE. Klyubin, A. S., Polani, D., and Nehaniv, C. L. (2008). Keep your options open: An information-based driving principle for sensorimotor systems. PLoS ONE, 3(12):e4018. Klyubin, A., Polani, D., and Nehaniv, C. (2007). Representations of space and time in the maximization of information flow in the perception-action loop. Neural Computation, 19(9):2387–2432. Koehler, S., Lauer, P., Schreppel, T., Jacob, C., Heine, M., Boreatti-Hummer, A., Fallgatter, A. J., and Herrmann, M. J. (2009). Increased eeg power density in alpha and theta bands in adult adhd patients. Journal of Neural Transmission, 116(1):97–104. Kong, K. and Jeon, D. (2006). Design and Control of an Exoskeleton for the Elderly and Patients, IEEE/ASME Trans-actions on Mechatronics, vol. 11, no. 4, pp. 428-423. Kong, K., Moon, H., Hwang, B., Jeon, D., and Tomizuka, M. (2009). Impedance Compensation of SUBAR for Back-Drivable Force-Mode Actuation, IEEE Transactions on Robotics, vol. 25, pp. 512-521. Körding, K. P. and Wolpert, D. M. (2004). Bayesian integration in sensorimotor learning. Nature, 427:244–247. Kornhuber, H.H., Deecke, L. (1964). Hirnpotentialanderungen beim menschen vor und nach willkurbewegungen, dargestellt mit magnetband-speicherung und ruckwartsanalyse. Pflugers Arch, 281(52). 187
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