Hand posture and gesture recognition technology

Abstract Hand gestures that are performed by one or two hands can be categorized according to their applications into different categories including conversational, controlling, manipulative and communicative gestures. Generally, hand gesture recognition aims to identify specific human gestures and use them to convey information. The process of hand gesture recognition composes mainly of four stages: hand gesture images collection, gesture image preprocessing using some techniques including edge detection, filtering and normalization, capture the main characteristics of the gesture images and the evaluation (or classification) stage where the image is classified to its corresponding gesture class. There are many methods that have been used in the classification stage of hand gesture recognition such as Artificial Neural Networks, template matching, Hidden Markov Models and Dynamic Time Warping. This exploratory survey aims to provide a progress report on hand posture and gesture recognition technology.

[1]  P. Kuchi,et al.  1 FACIAL EXPRESSION RECOGNITION USING ARTIFICIAL NEURAL NETWORKS , 2002 .

[2]  H. Winnemöller.  Practical Gesture Recognition for controlling Virtual Environments , 2022 .

[3]  Tae-Kyun Kim,et al.  Gesture Recognition Under Small Sample Size , 2007, ACCV.

[4]  Sameem Abdul Kareem,et al.  Fingerprint image enhancement and recognition algorithms: a survey , 2012, Neural Computing and Applications.

[5]  Scott E. Umbaugh,et al.  Computer Vision and Image Processing: A Practical Approach Using Cviptools with Cdrom , 1997 .

[6]  Rachid Alami,et al.  A methodological approach relating the classification of gesture to identification of human intent in the context of human-robot interaction , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[7]  Anil K. Jain,et al.  Statistical Pattern Recognition: A Review , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Ioannis Pitas,et al.  Digital Image Processing Algorithms and Applications , 2000 .

[10]  G. Awcock,et al.  Applied Image Processing , 1995 .

[11]  Ulrich Neumann,et al.  Lexical Gesture Interface , 2006, Fourth IEEE International Conference on Computer Vision Systems (ICVS'06).

[12]  Larry S. Davis,et al.  Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition , 2004, ICVGIP.

[13]  Agnès Just,et al.  Two-Handed Gestures for Human-Computer Interaction , 2006 .

[14]  James W. Davis,et al.  GESTURE RECOGNITION , 2023, International Research Journal of Modernization in Engineering Technology and Science.

[15]  Min Xie,et al.  Vision-Based Hand Gesture Recognition for Human-Vehicle Interaction , 1998 .

[16]  S. Abdul-Kareem,et al.  Static hand gesture recognition using neural networks , 2012 .

[17]  M. Reinders,et al.  Multi-Dimensional Dynamic Time Warping for Gesture Recognition , 2007 .

[18]  Chin-Chen Chang,et al.  New Approach for Static Gesture Recognition , 2006, J. Inf. Sci. Eng..

[19]  Ying Wu,et al.  Vision-Based Gesture Recognition: A Review , 1999, Gesture Workshop.

[20]  Antonis A. Argyros,et al.  Vision-based Hand Gesture Recognition for Human-Computer Interaction , 2008 .

[21]  Wen Gao,et al.  Sign Language Recognition Based on HMM/ANN/DP , 2000, Int. J. Pattern Recognit. Artif. Intell..

[22]  Eung-Joo Lee,et al.  Hand Gesture Recognition Using Neural Network , 2007 .

[23]  S. Abdul-Kareem,et al.  RETRACTED ARTICLE: Static hand gesture recognition using neural networks , 2014, Artificial Intelligence Review.

[24]  F. Kjeldsen,et al.  Visual interpretation for hand gestures a s a practical in-terface modality , 1997 .

[25]  Toshiaki Ejima,et al.  A New Approach Dedicated To Real-Time Hand Gesture Recognition , 2006, IPCV.

[26]  Haitham Hasan,et al.  RETRACTED ARTICLE: Human–computer interaction using vision-based hand gesture recognition systems: a survey , 2013, Neural Computing and Applications.

[27]  Sameem Abdul Kareem,et al.  Gesture Feature Extraction for Static Gesture Recognition , 2013 .

[28]  Yael Edan,et al.  Real-time hand gesture telerobotic system using fuzzy c-means clustering , 2002, Proceedings of the 5th Biannual World Automation Congress.