Download e-book for kindle: Advances in Intelligent Analysis of Medical Data and by Abdel-Badeeh M. Salem (auth.), Roumen Kountchev, Barna

By Abdel-Badeeh M. Salem (auth.), Roumen Kountchev, Barna Iantovics (eds.)

ISBN-10: 3319000284

ISBN-13: 9783319000282

ISBN-10: 3319000292

ISBN-13: 9783319000299

This quantity is because of the the fruitful and shiny discussions in the course of the MedDecSup'2012 foreign Workshop bringing jointly a appropriate physique of information, and new advancements within the more and more very important box of clinical informatics. This rigorously edited e-book provides new principles aimed toward the improvement of clever processing of varied forms of clinical details and the perfection of the modern desktops for scientific determination help. The publication provides advances of the scientific details platforms for clever archiving, processing, research and search-by-content with a view to increase the standard of the clinical providers for each sufferer and of the worldwide healthcare procedure. The ebook combines in a synergistic approach theoretical advancements with the practicability of the methods built and offers the final advancements and achievements in clinical informatics to a wide diversity of readers: engineers, mathematicians, physicians, and PhD scholars.

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Based on dactylology statements, the main and additional criteria were formulated and used in segmentation and recognition procedures. The hand segmentation algorithm is not a trivial task and requires the design of complex segmentation in a spatio-temporal domain. Vectorization algorithm increases the efficiency of following object identification from the limited set of signs. Software “Russian Sign Language” includes modules which realize frame extraction from video sequences, hand detection and tracking, recognition, and interface control.

10] proposed a HMM-based threshold model for end points of gesture recognition using matched gesture patterns. The likelihood of all Gesture Models and the threshold models is calculated for candidate end points consideration. The start points of a gesture can be traced back using the Viterbi algorithm. The DP technique combines motion detection and an explicit multi-scale search to find the start and end times of a gesture [8]. Kang et al. [11] proposed to detect possible start and end points of a gesture according to three criteria: abnormal velocity, a static gesture, and severe curvature.

Syst. Man. Cybern. Part C Appl. Rev. 37(3), 311–324 (2007) 2. : A Unified Framework for Gesture Recognition and Spatio-temporal Gesture Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31(9), 1685–1699 (2009) 3. : Model-based Segmentation and Recognition of Dynamic Gestures in Continuous video streams. Pattern Recognition 44, 1614–1628 (2011) Visual System of Sign Alphabet Learning for Poorly-Hearing Children 39 4. : Segmentation and Recognition of Continuous Gestures. In: Int. Conf. , vol.

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Advances in Intelligent Analysis of Medical Data and Decision Support Systems by Abdel-Badeeh M. Salem (auth.), Roumen Kountchev, Barna Iantovics (eds.)

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