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Development of a Gait Recognition System in NI LabVIEW Programming Language

References [1] Viktor D.: Optikai alapú Motion Capture rendszer. 2011. 5, 7–9. [2] Boyd J. E., Little J. J.: Biometric Gait Recognition. Springer Verlag Berlin Heidelberg 2005, 19-42. [3] Salánki D., Sarvajcz K., Husi G.: Járásfelismerés fejlesztése NI LabVIEW környezetben . Debreceni Egyetem Műszaki Kar, Mechatronikai mérnök BSc, szakdolgozat, 2018. [4] Salánki D: Járásfelismerés fejlesztése NI LabVIEW környezetben . Debreceni Egyetem Műszaki Kar, Kari TDK, Debrecen, 2017. [5] Fogel I., Sagi D.: Gabor filters as texture

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Examination of the Effect of Psychophysical Factors on the Quality of Human Gait Recognition

References 1. Balista J. A. F., Soriano M. N., Saloma C.A (2010), Compact timeindependent pattern representation of entire human gait cycle for tracking of gait irregularities, Pattern Recognition Letters, 31, 20-27. 2. Derlatka M. (2012), Human gait recognition based on signals from two force plates, ICAISC'2012 - LNCS:LNAI, 7268, 251-258. 3. Derlatka M. (2013), Modyfied kNN algorithm for improved recognition accuracy of biometrics system based on gait, CISIM’2013 - LNCS, 8104, 59-66. 4

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Individual Recognition from Gait Using Feature Value Method

. 14. Gafurov, D., et al. Gait Recognition Using Wearable Motion Recording Sensors. - EURASIP Journal on Advances in Signal Processing, 2009. 15. Kwapisz, J. R., et al. Cell Phonebased Biometric Identification. - In: Proc. of IEEE Fourth International Conference on Biometrics: Theory, Applications and Systems, 2010. 16. Gafurov, D., et al. Spoof Attacks Ongait. - J. of IEEE Transactions on Information Forensics and Security, Special Issue on Human Detection and Recognition, 2007. 17. Gafurov, D. Security Analysis of

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Measurement Uncertainty Analysis of the Strain Gauge Based Stabilographic Platform

REFERENCES 1. Baratto M., Cervera Ch., Jacono M. (2004), Analysis of Adequacy of a Force Platform for Stabilometric Clinical Investigations, Mediterranean Conference on Measurement , 207-211. 2. Cornilleau-Peresa V., Shabanac N., Droulezd J., Gohe J.C.H., Leef G.S.M., Chew P.T.K. (2005), Measurement of the Visual Contribution to postural steadiness from the COP Movement: Methodology And Reliability, Gait & Posture , Vol. 22, 2, 96-106. 3. Derlatka M. (2012), Human Gait Recognition Based on Signals from Two Force Plates, Lecture Notes in Computer

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Score Level and Rank Level Fusion for Kinect-Based Multi-Modal Biometric System

., Integrating Face and Gait for Human Recognition at a Distance in Video, IEEE Trans. on Systems, Man, and Cybernetics, vol. 37, no. 5, pp. 119-1137, 2007 [15] Geng X. Adaptive Fusion of Gait and Face for Human Identification in Video, Workshop on Application of Computer Vision, IEEE, pp. 1-6, 2008 [16] Hossain E., Chetty G., Multimodal Face-Gait Fusion for Biometric Person Authentication, International Conference on Embedded and Ubiquitous Computing (EUC), IEEE, pp. 332-337, 2011 [17] Hoffman M., Combined face and gait recognition using alpha

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A Report on Multilinear PCA Plus GTDA to Deal With Face Image

Gabor Features for Gait Recognition. – IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29 , 2007, No 10, pp. 1700-1715. 8. He, X., D. Cai, P. Niyogi. Tensor Subspace Analysis. A – In: Advances in Neural Information Processing Systems, 2005, pp. 499-506. 9. Song, F., D. Zhang, D. Mei, Z. Guo. A Multiple Maximum Scatter Difference Discriminant Criterion for Facial Feature Extraction. – IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 37 , 2007, No 6, pp. 1599-1606. 10. Wang, S. J., C. G. Zhou, X. Fu

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Hidden Markov Model-based Pedestrian Navigation System using MEMS Inertial Sensors

). A survey of indoor inertial positioning systems for pedestrians. IEEE Communications Surveys & Tutorials , 15 (3), 1281-1293. [5] Foxlin, E. (2005), Pedestrian tracking with shoe-mounted inertial sensors. IEEE Computer Graphics and Applications , 25 (6), 38-46. [6] Fischer, C., Talkad Sukumar, P., Hazas, M. (2013), Tutorial: Implementing a pedestrian tracker using inertial sensors. IEEE Pervasive Computing , 12 (2), 17-27. [7] Wen, L., Yingjun, Z., Feixiang, Z. (2013). A gait recognition algorithm using MEMS inertial sensor for pedestrian dead

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Magnetic Resonance Super-resolution Imaging Measurement with Dictionary-optimized Sparse Learning

] Xu, D., Huang, Y., Zeng, Z., Xu, X. (2012). Human gait recognition using patch distribution feature and locality-constrained group sparse representation. IEEE Transactions on Image Processing , 21 (1), 316-326. [10] Rubinstein, R., Bruckstein, A.M., Elad, M. (2010). Dictionaries for sparse representation modeling. Proceedings of the IEEE , 98 (6), 1045-1057. [11] Cevher, V., Krause, A. (2011). Greedy dictionary selection for sparse representation. IEEE Journal of Selected Topics in Signal Processing , 5 (5), 979-988. [12] Chen, Y., Nasrabadi, N

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Mechatronic Device for Locomotor Training

the built environment: aninvestigation of community and neighborhood land uses and participation for physically impaired adults, Annals of Epidemiology , 24(7), 545-550. 5. Boyd J.E., Little J.J. (2005), Biometric gait recognition, Advanced Studies in Biometrics , Springer, 3161, 19-42. 6. Campa R., Kelly R., Santibanez V. (2004), Windows-based real-time control of direct-drive mechanisms: platform description and experiments, Mechatronics , 14(9), 1021-1036. 7. Cao J., Xie S.Q., Das R., Zhu G.L. (2014), Control strategies for effective

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On-Line Signature Partitioning Using a Population Based Algorithm

based on horizontal partitioning, Pattern Recognition, vol. 47, pp. 2652-2661 (2014) [5] Das, S., Suganthan, P.N. Differential evolution: A survey of the state-of-the-art. IEEE transactions on evolutionary computation, vol. 15(1), pp. 4-31 (2010) [6] Dean, D., Sridharan, S. Dynamic visual features for audio-visual speaker verification, Comput. Speech Lang., vol. 24, pp. 136–149 (2010) [7] Ekinci, M., Ayku, M. Human gait recognition based on kernel PCA using projections, J. Comput. Sci. Technol., vol. 22, pp. 867–876 (2007) [8] Faundez-Zanuy, M

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