Real Time 2d Static Hand Gesture Recognition And 2d Hand Tracking For Human Computer Interaction

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Real-time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human-Computer Interaction

Author : Pavel Alexandrovich Popov
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (129 download)

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Book Synopsis Real-time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human-Computer Interaction by : Pavel Alexandrovich Popov

Download or read book Real-time 2D Static Hand Gesture Recognition and 2D Hand Tracking for Human-Computer Interaction written by Pavel Alexandrovich Popov and published by . This book was released on 2020 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The topic of this thesis is Hand Gesture Recognition and Hand Tracking for user interface applications. 3 systems were produced, as well as datasets for recognition and tracking, along with UI applications to prove the concept of the technology. These represent significant contributions to resolving the hand recognition and tracking problems for 2d systems. The systems were designed to work in video only contexts, be computationally light, provide recognition and tracking of the user's hand, and operate without user driven fine tuning and calibration. Existing systems require user calibration, use depth sensors and do not work in video only contexts, or are computationally heavy requiring GPU to run in live situations. A 2-step static hand gesture recognition system was created which can recognize 3 different gestures in real-time. A detection step detects hand gestures using machine learning models. A validation step rejects false positives. The gesture recognition system was combined with hand tracking. It recognizes and then tracks a user's hand in video in an unconstrained setting. The tracking uses 2 collaborative strategies. A contour tracking strategy guides a minimization based template tracking strategy and makes it real-time, robust, and recoverable, while the template tracking provides stable input for UI applications. Lastly, an improved static gesture recognition system addresses the drawbacks due to stratified colour sampling of the detection boxes in the detection step. It uses the entire presented colour range and clusters it into constituent colour modes which are then used for segmentation, which improves the overall gesture recognition rates. One dataset was produced for static hand gesture recognition which allowed for the comparison of multiple different machine learning strategies, including deep learning. Another dataset was produced for hand tracking which provides a challenging series of user scenarios to test the gesture recognition and hand tracking system. Both datasets are significantly larger than other available datasets. The hand tracking algorithm was used to create a mouse cursor control application, a paint application for Android mobile devices, and a FPS video game controller. The latter in particular demonstrates how the collaborating hand tracking can fulfill the demanding nature of responsive aiming and movement controls.

Real-time Hand Gesture Detection and Recognition for Human Computer Interaction

Author : Nasser Hasan Abdel-Qader Dardas
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (871 download)

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Book Synopsis Real-time Hand Gesture Detection and Recognition for Human Computer Interaction by : Nasser Hasan Abdel-Qader Dardas

Download or read book Real-time Hand Gesture Detection and Recognition for Human Computer Interaction written by Nasser Hasan Abdel-Qader Dardas and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis focuses on bare hand gesture recognition by proposing a new architecture to solve the problem of real-time vision-based hand detection, tracking, and gesture recognition for interaction with an application via hand gestures. The first stage of our system allows detecting and tracking a bare hand in a cluttered background using face subtraction, skin detection and contour comparison. The second stage allows recognizing hand gestures using bag-of-features and multi-class Support Vector Machine (SVM) algorithms. Finally, a grammar has been developed to generate gesture commands for application control. Our hand gesture recognition system consists of two steps: offline training and online testing. In the training stage, after extracting the keypoints for every training image using the Scale Invariance Feature Transform (SIFT), a vector quantization technique will map keypoints from every training image into a unified dimensional histogram vector (bag-of-words) after K-means clustering. This histogram is treated as an input vector for a multi-class SVM to build the classifier. In the testing stage, for every frame captured from a webcam, the hand is detected using my algorithm. Then, the keypoints are extracted for every small image that contains the detected hand posture and fed into the cluster model to map them into a bag-of-words vector, which is fed into the multi-class SVM classifier to recognize the hand gesture. Another hand gesture recognition system was proposed using Principle Components Analysis (PCA). The most eigenvectors and weights of training images are determined. In the testing stage, the hand posture is detected for every frame using my algorithm. Then, the small image that contains the detected hand is projected onto the most eigenvectors of training images to form its test weights. Finally, the minimum Euclidean distance is determined among the test weights and the training weights of each training image to recognize the hand gesture. Two application of gesture-based interaction with a 3D gaming virtual environment were implemented. The exertion videogame makes use of a stationary bicycle as one of the main inputs for game playing. The user can control and direct left-right movement and shooting actions in the game by a set of hand gesture commands, while in the second game, the user can control and direct a helicopter over the city by a set of hand gesture commands.

Color and Illumination Independent Hand Tracking and Gesture Recognition

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (424 download)

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Book Synopsis Color and Illumination Independent Hand Tracking and Gesture Recognition by :

Download or read book Color and Illumination Independent Hand Tracking and Gesture Recognition written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Recognition of human motion provides hints to understand human activities and gives opportunities to the development of a new human-computer interaction (HCI) interface. Hidden Markov Models (HMMs) are used for visual recognition of complex, structured hand gestures such as the ones found in a sign language, since they have proved their success in recognizing speech and handwriting. In this paper, we introduce a hand gesture recognition system to recognize gestures in real-time. Hand tracking is performed in two different ways. The first method is based on color segmentation and blob generation over the hand region, and the second method uses block matching and particle filtering algorithms to detect the moving hand which makes the system totally color and illumination independent. In both methods, extracted information is used as the input to the HMM based gesture recognizer.

Real-time Immersive Human-computer Interaction Based on Tracking and Recognition of Dynamic Hand Gestures

Author : Gan Lu
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (784 download)

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Book Synopsis Real-time Immersive Human-computer Interaction Based on Tracking and Recognition of Dynamic Hand Gestures by : Gan Lu

Download or read book Real-time Immersive Human-computer Interaction Based on Tracking and Recognition of Dynamic Hand Gestures written by Gan Lu and published by . This book was released on 2011 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: With fast developing and ever growing use of computer based technologies, human-computer interaction (HCI) plays an increasingly pivotal role. In virtual reality (VR), HCI technologies provide not only a better understanding of three-dimensional shapes and spaces, but also sensory immersion and physical interaction. With the hand based HCI being a key HCI modality for object manipulation and gesture based communication, challenges are presented to provide users a natural, intuitive, effortless, precise, and real-time method for HCI based on dynamic hand gestures, due to the complexity of hand postures formed by multiple joints with high degrees-of-freedom, the speed of hand movements with highly variable trajectories and rapid direction changes, and the precision required for interaction between hands and objects in the virtual world. Presented in this thesis is the design and development of a novel real-time HCI system based on a unique combination of a pair of data gloves based on fibre-optic curvature sensors to acquire finger joint angles, a hybrid tracking system based on inertia and ultrasound to capture hand position and orientation, and a stereoscopic display system to provide an immersive visual feedback. The potential and effectiveness of the proposed system is demonstrated through a number of applications, namely, hand gesture based virtual object manipulation and visualisation, hand gesture based direct sign writing, and hand gesture based finger spelling. For virtual object manipulation and visualisation, the system is shown to allow a user to select, translate, rotate, scale, release and visualise virtual objects (presented using graphics and volume data) in three-dimensional space using natural hand gestures in real-time. For direct sign writing, the system is shown to be able to display immediately the corresponding SignWriting symbols signed by a user using three different signing sequences and a range of complex hand gestures, which consist of various combinations of hand postures (with each finger open, half-bent, closed, adduction and abduction), eight hand orientations in horizontal/vertical plans, three palm facing directions, and various hand movements (which can have eight directions in horizontal/vertical plans, and can be repetitive, straight/curve, clockwise/anti-clockwise). The development includes a special visual interface to give not only a stereoscopic view of hand gestures and movements, but also a structured visual feedback for each stage of the signing sequence. An excellent basis is therefore formed to develop a full HCI based on all human gestures by integrating the proposed system with facial expression and body posture recognition methods. Furthermore, for finger spelling, the system is shown to be able to recognise five vowels signed by two hands using the British Sign Language in real-time.

Challenges and Applications for Hand Gesture Recognition

Author : Kane, Lalit
Publisher : IGI Global
ISBN 13 : 1799894363
Total Pages : 249 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Challenges and Applications for Hand Gesture Recognition by : Kane, Lalit

Download or read book Challenges and Applications for Hand Gesture Recognition written by Kane, Lalit and published by IGI Global. This book was released on 2022-03-25 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the rise of new applications in electronic appliances and pervasive devices, automated hand gesture recognition (HGR) has become an area of increasing interest. HGR developments have come a long way from the traditional sign language recognition (SLR) systems to depth and wearable sensor-based electronic devices. Where the former are more laboratory-oriented frameworks, the latter are comparatively realistic and practical systems. Based on various gestural traits, such as hand postures, gesture recognition takes different forms. Consequently, different interpretations can be associated with gestures in various application contexts. A considerable amount of research is still needed to introduce more practical gesture recognition systems and associated algorithms. Challenges and Applications for Hand Gesture Recognition highlights the state-of-the-art practices of HGR research and discusses key areas such as challenges, opportunities, and future directions. Covering a range of topics such as wearable sensors and hand kinematics, this critical reference source is ideal for researchers, academicians, scholars, industry professionals, engineers, instructors, and students.

Dual-sensor Approaches for Real-time Robust Hand Gesture Recognition

Author : Kui Liu
Publisher :
ISBN 13 :
Total Pages : 198 pages
Book Rating : 4.:/5 (921 download)

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Book Synopsis Dual-sensor Approaches for Real-time Robust Hand Gesture Recognition by : Kui Liu

Download or read book Dual-sensor Approaches for Real-time Robust Hand Gesture Recognition written by Kui Liu and published by . This book was released on 2015 with total page 198 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of hand gesture recognition has been steadily growing in various human-computer interaction applications. Under realistic operating conditions, it has been shown that hand gesture recognition systems exhibit recognition rate limitations when using a single sensor. Two dual-sensor approaches have thus been developed in this dissertation in order to improve the performance of hand gesture recognition under realistic operating conditions. The first approach involves the use of image pairs from a stereo camera setup by merging the image information from the left and right camera, while the second approach involves the use of a Kinect depth camera and an inertial sensor by fusing differing modality data within the framework of a hidden Markov model. The emphasis of this dissertation has been on system building and practical deployment. More specifically, the major contributions of the dissertation are: (a) improvement of hand gestures recognition rates when using a pair of images from a stereo camera compared to when using a single image by fusing the information from the left and right images in a complementary manner, and (b) improvement of hand gestures recognition rates when using a dual-modality sensor setup consisting of a Kinect depth camera and an inertial body sensor compared to the situations when each sensor is used individually on its own. Experimental results obtained indicate that the developed approaches generate higher recognition rates in different backgrounds and lighting conditions compared to the situations when an individual sensor is used. Both approaches are designed such that the entire recognition system runs in real-time on PC platform.

Gesture Recognition

Author : Qiguang Miao
Publisher : Elsevier
ISBN 13 : 0443289603
Total Pages : 225 pages
Book Rating : 4.4/5 (432 download)

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Book Synopsis Gesture Recognition by : Qiguang Miao

Download or read book Gesture Recognition written by Qiguang Miao and published by Elsevier. This book was released on 2024-07-26 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gesture Recognition: Theory and Applications covers this important topic in computer science and language technology that has a goal of interpreting human gestures via mathematical algorithms. The book begins by examining the computer vision-based gesture recognition method, focusing on the theory and related research results of various recent gesture recognition technologies. The book takes the evolutions of gesture recognition technology as a clue, systematically introducing gesture recognition methods based on handcrafted features, convolutional neural networks, recurrent neural networks, multimodal data fusion, and visual attention mechanisms. Three gesture recognition-based HCI (Human Computer Interaction) practical cases are introduced. Finally, the book looks at emerging research trends and application. Focuses on the theory and application of gesture recognition, providing a systematic introduction to commonly used datasets in the field as well as algorithms based on handcrafted features, convolutional neural networks, multimodal fusion, and attention mechanisms Introduces the practical applications of gesture recognition in real-world scenarios, enabling readers to enhance their practical application skills while learning about relevant technologies Demonstrates four main categories of gesture recognition methods and analyzes their associated challenges

Real-Time Vision for Human-Computer Interaction

Author : Branislav Kisacanin
Publisher : Springer Science & Business Media
ISBN 13 : 9780387276977
Total Pages : 324 pages
Book Rating : 4.2/5 (769 download)

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Book Synopsis Real-Time Vision for Human-Computer Interaction by : Branislav Kisacanin

Download or read book Real-Time Vision for Human-Computer Interaction written by Branislav Kisacanin and published by Springer Science & Business Media. This book was released on 2005-08-23 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: The need for natural and effective Human-Computer Interaction (HCI) is increasingly important due to the prevalence of computers in human activities. Computer vision and pattern recognition continue to play a dominant role in the HCI realm. However, computer vision methods often fail to become pervasive in the field due to the lack of real-time, robust algorithms, and novel and convincing applications. This state-of-the-art contributed volume is comprised of articles by prominent experts in computer vision, pattern recognition and HCI. It is the first published text to capture the latest research in this rapidly advancing field with exclusive focus on real-time algorithms and practical applications in diverse and numerous industries, and it outlines further challenges in these areas. Real-Time Vision for Human-Computer Interaction is an invaluable reference for HCI researchers in both academia and industry, and a useful supplement for advanced-level courses in HCI and Computer Vision.

Human-Computer Interaction: Gesture Spotting and Recognition

Author : Mahmoud Elmezain
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659524783
Total Pages : 168 pages
Book Rating : 4.5/5 (247 download)

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Book Synopsis Human-Computer Interaction: Gesture Spotting and Recognition by : Mahmoud Elmezain

Download or read book Human-Computer Interaction: Gesture Spotting and Recognition written by Mahmoud Elmezain and published by LAP Lambert Academic Publishing. This book was released on 2014-03 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Even though automatic hand gesture recognition technology has been applied to real-world applications with relative success, there are still several problems which need to be addressed for wider applications of Human-Computer Interaction. One of such problems which arise in hand gesture recognition is to spot meaningful gestures from the continuous sequence of the hand motions. Another problem is caused by the fact that there is quite a bit of variability (i.e. in shape, trajectory and duration) in the same gesture even for the same person. Throughout literature, the backward spotting technique is used which first detects the end points of gestures and then tracks back through their optimal paths to discover the start points of gestures. Upon the detection of the start and the end points, in between points trajectory is sent to the recognizer for recognition. So, a time delay is observed between the meaningful gesture spotting and recognition. This time delay is unacceptable for online applications. Given the fact of high variability of corresponding gesture to other gestures, modeling the other gesture is a vital issue to accommodate the infinite number of non-gesture patterns.

Cognitive Computing for Human-Robot Interaction

Author : Mamta Mittal
Publisher : Academic Press
ISBN 13 : 0323856470
Total Pages : 420 pages
Book Rating : 4.3/5 (238 download)

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Book Synopsis Cognitive Computing for Human-Robot Interaction by : Mamta Mittal

Download or read book Cognitive Computing for Human-Robot Interaction written by Mamta Mittal and published by Academic Press. This book was released on 2021-08-13 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cognitive Computing for Human-Robot Interaction: Principles and Practices explores the efforts that should ultimately enable society to take advantage of the often-heralded potential of robots to provide economical and sustainable computing applications. This book discusses each of these applications, presents working implementations, and combines coherent and original deliberative architecture for human–robot interactions (HRI). Supported by experimental results, it shows how explicit knowledge management promises to be instrumental in building richer and more natural HRI, by pushing for pervasive, human-level semantics within the robot's deliberative system for sustainable computing applications. This book will be of special interest to academics, postgraduate students, and researchers working in the area of artificial intelligence and machine learning. Key features: Introduces several new contributions to the representation and management of humans in autonomous robotic systems; Explores the potential of cognitive computing, robots, and HRI to generate a deeper understanding and to provide a better contribution from robots to society; Engages with the potential repercussions of cognitive computing and HRI in the real world. Introduces several new contributions to the representation and management of humans in an autonomous robotic system Explores cognitive computing, robots and HRI, presenting a more in-depth understanding to make robots better for society Gives a challenging approach to those several repercussions of cognitive computing and HRI in the actual global scenario

Human-Computer Interaction Using Hand Gesture Recognition

Author : Pin-Sho Feng
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (84 download)

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Book Synopsis Human-Computer Interaction Using Hand Gesture Recognition by : Pin-Sho Feng

Download or read book Human-Computer Interaction Using Hand Gesture Recognition written by Pin-Sho Feng and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Recent Trends in Static Hand Gesture Recognition

Author : Haitham Hasan
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659583841
Total Pages : 148 pages
Book Rating : 4.5/5 (838 download)

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Book Synopsis Recent Trends in Static Hand Gesture Recognition by : Haitham Hasan

Download or read book Recent Trends in Static Hand Gesture Recognition written by Haitham Hasan and published by LAP Lambert Academic Publishing. This book was released on 2014-08-08 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: Considerable effort has been put towards developing intelligent and natural interfaces between users and computer systems. This is done by means of a variety of modes of information (visual, audio, pen, etc.) either used individually or in combination. The use of gestures as means to convey information is an important part of human communication. The automatic recognition of gestures enriches Human-Computer Interaction by offering a natural and intuitive method of data input.

Micro-Electronics and Telecommunication Engineering

Author : Devendra Kumar Sharma
Publisher : Springer Nature
ISBN 13 : 9811523290
Total Pages : 735 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Micro-Electronics and Telecommunication Engineering by : Devendra Kumar Sharma

Download or read book Micro-Electronics and Telecommunication Engineering written by Devendra Kumar Sharma and published by Springer Nature. This book was released on 2020-04-02 with total page 735 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents selected papers from the 3rd International Conference on Micro-Electronics and Telecommunication Engineering, held at SRM Institute of Science and Technology, Ghaziabad, India, on 30-31 August 2019. It covers a wide variety of topics in micro-electronics and telecommunication engineering, including micro-electronic engineering, computational remote sensing, computer science and intelligent systems, signal and image processing, and information and communication technology.

3D Hand Tracking in Video Sequences

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (611 download)

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Book Synopsis 3D Hand Tracking in Video Sequences by :

Download or read book 3D Hand Tracking in Video Sequences written by and published by . This book was released on 2005 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of hand gestures provides an attractive alternative to cumbersome interface devices such as keyboard, mouse, joystick, etc. Hand tracking has a great potential as a tool for better human-computer interaction by means of communication in a more natural and articulate way. This has motivated a very active research area concerned with computer vision-based analysis and interpretation of hand gestures and hand tracking. In this study, a real-time hand tracking system is developed. Mainly, it is image-based hand tracking and based on 2D image information. For separation and identification of finger parts, coloured markers are used. In order to obtain 3D tracking, a stereo vision approach is used where third dimension is obtained by depth information. In order to see results in 3D, a 3D hand model is developed and Java 3D is used as the 3D environment. Tracking is tested on two different types of camera: a cheap USB web camera and Sony FCB-IX47AP camera, connected to the Matrox Meteor frame grabber with a standard Intel Pentium based personal computer. Coding is done by Borland C++ Builder 6.0 and Intel Image Processing and Open Source Computer Vision (OpenCV) library are used as well. For both camera types, tracking is found to be robust and efficient where hand tracking at ~8 fps could be achieved. Although the current progress is encouraging, further theoretical as well as computational advances are needed for this highly complex task of hand tracking.

Hand Gesture Recognition for Improved Human Computer Interaction

Author : David J. Harmony
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (528 download)

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Book Synopsis Hand Gesture Recognition for Improved Human Computer Interaction by : David J. Harmony

Download or read book Hand Gesture Recognition for Improved Human Computer Interaction written by David J. Harmony and published by . This book was released on 2003 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Hand Gesture Recognition Using Artificial Neural Networks

Author : Mohd Amrallah Mustafa
Publisher :
ISBN 13 :
Total Pages : 128 pages
Book Rating : 4.:/5 (975 download)

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Book Synopsis Hand Gesture Recognition Using Artificial Neural Networks by : Mohd Amrallah Mustafa

Download or read book Hand Gesture Recognition Using Artificial Neural Networks written by Mohd Amrallah Mustafa and published by . This book was released on 2007 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hand gesture has been part of human communication, where, young children usually communicate by using gesture before they can talk. Adults may have also gesture if they need to or they are indeed mute or deaf. Thus the idea of teaching a machine to also learn gesture is very appealing due to its unique mode of communications. A reliable hand gesture recognition system will make the remote control become obsolete. However, ,any of the a new techniques proposed are complicated to be implemented in real time, especially as a human machine interface. This thesis focuses on recognizing hand gesture in static posture. Since static hand postures not only can express some concepts, but also can act as special transition states in temporal gestures recognition, thus estimating static hand postures is in fact a big topics in gesture recognition. A database consists of 200 gesture images have been built, where five volunteers had help in the making of the database. The images were captured in a controlled enviroment and the postures are free from occulation where the background is uncluttered and the hand is assumed to have been localized. A system was then built to recognize the hand gesture. The captured image will be first preprocessed in order to binarize the palm region, where Sobel edge detection technique has been employed, with later followed by morphological operation. A new feature extraction technique has been developed, based on horizontal and vertical states transition count, and the ration of hand area with the respect to whole area of image. These set of features have been proven to have high intra class dissimilarity attributes. In order to have a system that can be easily trained, artificial neural networks has been chosen in the classification stage. A multilayer perceptron with back-propagation algorithm has been developed, thus the system is actually in-built to be used as a human machine interface. The gesture recognition system has been built and tested in Matlab. Where simulations have shown promising results. The performance of recognition rate in this research is 95% which shows a major improvement in comparison to the available methods.

Robust Hand Gesture Recognition for Robotic Hand Control

Author : Ankit Chaudhary
Publisher : Springer
ISBN 13 : 9811047987
Total Pages : 108 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Robust Hand Gesture Recognition for Robotic Hand Control by : Ankit Chaudhary

Download or read book Robust Hand Gesture Recognition for Robotic Hand Control written by Ankit Chaudhary and published by Springer. This book was released on 2017-06-05 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on light invariant bare hand gesture recognition while there is no restriction on the types of gestures. Observations and results have confirmed that this research work can be used to remotely control a robotic hand using hand gestures. The system developed here is also able to recognize hand gestures in different lighting conditions. The pre-processing is performed by developing an image-cropping algorithm that ensures only the area of interest is included in the segmented image. The segmented image is compared with a predefined gesture set which must be installed in the recognition system. These images are stored and feature vectors are extracted from them. These feature vectors are subsequently presented using an orientation histogram, which provides a view of the edges in the form of frequency. Thereby, if the same gesture is shown twice in different lighting intensities, both repetitions will map to the same gesture in the stored data. The mapping of the segmented image's orientation histogram is firstly done using the Euclidian distance method. Secondly, the supervised neural network is trained for the same, producing better recognition results. An approach to controlling electro-mechanical robotic hands using dynamic hand gestures is also presented using a robot simulator. Such robotic hands have applications in commercial, military or emergency operations where human life cannot be risked. For such applications, an artificial robotic hand is required to perform real-time operations. This robotic hand should be able to move its fingers in the same manner as a human hand. For this purpose, hand geometry parameters are obtained using a webcam and also using KINECT. The parameter detection is direction invariant in both methods. Once the hand parameters are obtained, the fingers’ angle information is obtained by performing a geometrical analysis. An artificial neural network is also implemented to calculate the angles. These two methods can be used with only one hand, either right or left. A separate method that is applicable to both hands simultaneously is also developed and fingers angles are calculated. The contents of this book will be useful for researchers and professional engineers working on robotic arm/hand systems.