Methods on Real Time Gesture Recognition System
Keywords:(HCI) Human Computer Interaction, Segmentations, Hidden Marchov Model (HMM), Hand Gesture Recognition, Associative Processor (AP)
Gesture recognition deals with discussion of various methods, techniques and concerned algorithms related to it. Gesture recognition uses a simple & basic sign languages like movement of hand, position of lips & eye ball as well as eye lids positions. The various methods for image capturing, gesture recognition, gesture tracking, gesture segmentation and smoothing methods compared, and by the overweighing advantage of different gesture recognitions and their applications. In recent days gesture recognition is widely utilized in gaming industries, biomedical applications, and medical diagnostics for dumb and deaf people. Due to their wide applications, high efficiency, high accuracy and low expenditure gestures are using in many applications including robotics. By using gestures to develop human computer interaction (HCI) method it is necessary to identify the proper and meaning full gesture from different gesture images. The Gesture recognition avoids use of costly hardware devices for understanding the activities and recognition example lots of I/O devices like keyboard mouse etc. Can be Limited.
 Detecting Centroid for Hand Gesture Recognition using Morphological Computations (International Conference on Inventive Systems and Control (ICISC-2017))
 Robust Hand Detection using Arm Segmentation from Depth Data and Static Palm Gesture Recognition (IEEE ,September, 2017, Bucharest, Romania,)
 Swapnil Athavale ,Mona Deshmukh â€œDynamic Hand Gesture Recognition for Human Computer interactionâ€ International Journal of Engineering Research and General Science Volume 2, Issue 2, Feb-Mar 2014.
  Wang Ran, Yu Zhishuai, Liu Minghang, Wang Yikai, Chang Yuchun â€œReal-time Visual Static Hand Gesture Recognition System And Its Fpga-based Hardware Implementationâ€ 978-1-4799-2186-7/14 Â©2014 IEEE
 Reza Azad, Babak Azad, Nabil Belhaj Khalifa, Shahram Jamali â€œReal-time Human-computer Interaction Based On Face And Hand Gesture Recognitionâ€ International Journal in Foundations of Computer Science & Technology (IJFCST), Vol.4, No.4, July 2014
 Swapnil D. Badgujar, Gourab Talukdar, Omkar Gondhalekar, Mrs. S.Y. Kulkarni â€œHand Gesture Recognition Systemâ€ International Journal of Scientific and Research Publications, Volume 4, Issue 2, February 2014
 Manresa C, Varona J, â€œHand tracking and gesture recognition for human-computer interaction[J],â€ Electronic letters on computer vision and image analysis, 2005, 5(3): 96-104.
 Huaiyu Xu, Xiaoyu Hou, Ruidan Su, Qing Ni â€œReal-Time Hand Gesture Recognition System Based on Associative Processorsâ€ Integrated Circuit Applied Software Lab Software College, Northeastern University-2009.
 Yikai Fang, Kongqiao Wang, Jian Cheng and Hanqing Lu- â€œA Real-time Hand Gesture Recognition Method â€œ 1-4244-1017-7/07-2007 IEEE
 Archana S. Ghotkar1 and Dr. Gajanan K. Kharate2 â€œStudy Of Vision Based Hand Gesture Recognition Using Indian Sign Languageâ€ International Journal On Smart Sensing And Intelligent Systems Vol. 7, No. 1, March 2014
 Thomas B. Moeslund and Erik Granum, (2001). â€œA Survey of Computer Vision-Based Human Motion Capture,â€ Elsevier, Computer Vision and Image Understanding, Vol. 81, pp. 231â€“268.
 N. Ibraheem, M. Hasan, R. Khan, P. Mishra, (2012). â€œComparative study of skin color based segmentation techniquesâ€, Aligarh Muslim University, A.M.U., Aligarh, India.
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