Ankit Chaudhary

The University of Missouri

Hand gestures recognition is the natural way of Human Machine interaction and today many researchers in the academia and industry are interested in this direction. It enables human being to interact with machine very easily and conveniently without wearing any extra device. It can be applied from sign language recognition to robot control and from...

Metaheuristics have a substantial history in fine-tuning machine learning algorithms. They gained tremendous popularity in many application domains. Robotics on the other hand is a wide research discipline that embraces artificial intelligence in a complex individually-thinking robot and distributed robots. Recently, metaheuristics made a significa...

VoIP is much in use these days as many applications over phone, tablet, and computers are available. The data in VoIP can be collected for further analysis or it can be intercepted. VoIP privacy and security is a major concern these days. This paper discusses an implementation of hiding a sound file in a digital image. This sound can be voice, VoIP...

Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual environment and control the joints but the functionality and DOF encourage researchers to make a hand like instrument. This paper presents a novel method for fingertips...

Among other naturally performed gestures by users, pointing gesture is one of the most intuitive interfaces for selection. Many systems have been proposed on pointing gesture for HCI systems. The detection and selection of pointed object can be helpful in many applications. In this paper, we approximate the pointing location of the user by localizi...

The Republic of India is a densely populated country where quality medical facilities are not much available in country-side areas. If it is about animal health the ratio of the number of animals per Vet is very high and it is not possible for the Vet to go to every sick animal. In a few cases, the owner has to take the animal to the Vet and would...

In natural communication, people use both hands to express themselves while talking. The bent fingers’ angle for one hand can be detected using the method discussed in the previous chapter. There is a need to detect the angles for both hands to make the gesture-based system more robust. In this chapter, a novel method for angle approximation of bot...

Recently, there has been a growing interest in the field of light invariant recognition. For advanced applications, a system can be set up in the laboratory with ideal conditions. However, in practical scenarios the hand gesture recognition systems may have applications in various environments. In image processing applications, the light intensity...

This chapter provides a brief overview of the state-of-the-art methods and results related to hand gesture recognition techniques. These methods are used for comparison and as a stepping stone for next chapters. Here different methods for hand gesture recognition are presented and discuss the major problems in this area which are addressed in this...

It has been discussed in Chap. 3 that a number of upcoming as well as existing applications are based on hand gesture recognition (HGR) techniques involving a bare hand. Such techniques allow a natural communication with machines. HGR-based systems face many problems in skin segmentation due to luminance and intensity in images which is a major cau...

The following issues in the context of hand gesture based robot control have been covered in this book. • Improve the state of the art of hand gesture recognition using enhanced intelligent methods. • Investigate a faster method to reduce image preprocessing algorithm time. • Investigate a direction invariant method to detect hand gesture in real t...

Fingertip detection forms an important component of HGR when image-based models are employed for constructing or detecting hand positions. In this chapter, the focus is on direction invariant fingertip and center of palm detection of natural hand with real-time performance. The HGP is detected in 2D using a simple webcam and in 3D using KINECT. Low...

Hands play an important role in the execution of many important tasks in the daily lives of humans as well for a number of other special purposes. The shape of the human hand is such that it is able to easily perform a number of otherwise tedious tasks. It can bend its fingers to different angles to pick up or to hold objects and to apply force via...

Block Matching is one of the most efficient techniques for motion estimation for video sequences. Metaheuristic algorithms have been used effectively for motion estimation. In this paper, we propose two hybrid algorithms: Artificial Bee Colony with Differential Evolution and Harmony Search with Differential Evolution based motion estimation algorit...

Computer vision has spread over different domains to facilitate difficult operations. It works as the artificial eye for many industrial applications to observe elements, process, automation and to find defects. Vision-based systems can also be applied to normal human life operations but changing light conditions is a big problem for these systems....

In densely populated countries, medical facilities are not much available in country-side areas. If it is about animal health, it is rare to get a good cure. The owner has to take the animal to the Vet and will have to do it every time if he is living in remote places. Most countries in South Asia have this situation where animal husbandry is a com...

In this paper, a bit mask-oriented genetic algorithm (BMOGA) is presented for grammatical inference (GI). GI is techniques to infer context free grammar from a set of corpora. The BMOGA combines the traditional genetic algorithm with a bit-mask oriented data structure and Boolean-based procedure (uses Boolean operators) that can exploit an optimum...

Telepresence is a necessity for present time as we can't reach everywhere and also it is useful in saving human life at dangerous places. A robot, which could be controlled from a distant location, can solve these problems. This could be via communication waves or networking methods. Also controlling should be in real time and smooth so that it can...

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 conditi...

During Peer Review Week 2016, rewards were granted for service to science during the year October 2015 - October 2016. Awards were provided to the top ten percent of each research field.

Hand Gesture has been used in different applications and also implemented on different platforms. A faster and smooth approach with reasonable accuracy is always needed to make smart devices smarter and faster. This paper describes a novel procedure of hand gesture recognition using Principal Component Analysis (PCA) implemented in FPGA Simulator....

In this paper, a genetic algorithm with minimum description length (GAWMDL) is proposed for grammatical inference. The primary challenge of identifying a language of infinite cardinality from a finite set of examples should know when to generalize and specialize the training data. The minimum description length principle that has been incorporated...

Needs and new technologies always inspire people to make new ways to interact with machines. This interaction can be for a specific purpose or a framework which can be applied to many applications. Sign language recognition is a very important area where an easiness in interaction with human or machine will help a lot of people. At this time, India...

The genetic algorithm is a search an optimization algorithm has been widely used, need no introduction. There exist various factors such as population size, representation of the population, crossover and mutation probabilities, selection method and others greatly contribute to the success of the genetic algorithm. This paper dealt with the represe...

The focus of this paper is towards analyzing the performance of various selection methods in genetic algorithm. Genetic algorithm, a novel search and optimization algorithm produces optimum response. There exist different selections method available—plays a significant role in genetic algorithm performance. Three selection methods are taken into co...

Automatic surveillance is an important research area and has been studied for many years. In this paper, a new method of Cross Border Intrusion detection in hilly region has been discussed. The Kinect camera ensures that intruders crossing the border can be detected during daytime as well as in night. We introduce a border surveillance system that...

This paper presents bit masking oriented genetic algorithm (BMOGA) for context free grammar induction. It takes the advantages of crossover and mutation mask-fill operators together with a Boolean based procedure in two phases to guide the search process from ith generation to (i + 1)th generation. Crossover and mutation mask-fill operations are pe...

When a patient come to hospital and able to walk then he could be conscious, walking but he need help from hospital staff if he is not feeling well. The time he come to consolation to doctor, it may be late and he may be more critical. Lets call this situation ‘pre-consultation urgent help needed’. Many time it happen that person coming to hospital...

Human computer interaction through hand gestures is one of the most intuitive ways of communicating with machines and thus it is no surprise that the field of real time gesture detection has seen significant interest among the scientific community in recent times. In this paper a hand gesture recognition method using the Microsoft Kinect has been p...

In this paper a novel approach to hide sound files in a digital image is proposed and implemented such that it becomes difficult to conclude about the existence of the hidden data inside the image. In this approach, we utilize the rightmost k-LSB of pixels in an image to embed MP3 sound bits into a pixel. The pixels are so chosen that the distortio...

These days mobile devices like phones or tablets are very common among people of all age. They are connected with network and provide seamless communications through internet or cellular services. These devices can be a big help for the people who are not able to communicate properly and even in emergency conditions. A disabled person who is not ab...

Steganography is the technique which has been used in many fields for hiding information and many different versions for each application are available in the literature. This chapter demonstrates how to increase the security level and to improve the storage capacity of hidden data, with compression techniques. The security level is increased by ra...

Now a day, video surveillance has become more and more prevalent. One of the basic problems of video surveillance is to count the number of access people in scenes. But when the number of access people is increased, it becomes difficult to count accurately. In this work, using a single mounted camera, a cost-effective bi-directional people counter,...

In this paper a novel approach to hide sound files in a digital image is proposed and implemented such that it becomes difficult to conclude about the existence of the hidden data inside the image. In this approach, we utilize the rightmost k-LSB of pixels in an image to embed MP3 sound bits into a pixel. The pixels are so chosen that the distortio...

This paper surveys strategies applied to avoid premature convergence in Genetic Algorithms (GAs). Genetic Algorithm belongs to the set of nature inspired algorithms. The applications of GA cover wide domains such as optimization, pattern recognition, learning, scheduling, economics, bioinformatics, etc. Fitness function is the measure of GA, distri...

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6918605

Since computer was invented, people are using many devices to interact with computer. Initially there were keyboard, mouse etc but with the advancement of technology, new ways are being discovered that are quite usual and natural to the humans like stylus, touch-enable systems. In the current age of technology, user is expected to touch the machine...

In the old age, few people need special care if they are suffering from specific diseases as they can get stroke while they are in normal life routine. Also patients of any age, who are not able to walk, need to be taken care of personally but for this, either they have to be in hospital or someone like nurse should be with them for better care. Th...

In the current age, use of natural communication in human computer interaction is a known and well installed thought. Hand gesture recognition and gesture based applications has gained a significant amount of popularity amongst people all over the world. It has a number of applications ranging from security to entertainment. These applications gene...

Gesture recognition has been implemented in many systems for different purposes. The way it is used can be different from system to system. Few used them as touch objects using sensors while few use them as pointing object where the camera is in front of the hand, but the location is being pointed by human, can be detected only if the camera is beh...

Skin detection is very popular and has vast applications among researchers in computer vision and human computer interaction. The skin-color changes beyond comparable limits with considerable change in the nature of the light source. Different properties are taken into account when the colors are represented in different color spaces. However, a un...

Fabric defect detection has been an active area of research since a long time and still a robust system is needed which can fulfill industrial requirements. A robust automatic fabric defect detection system (FDDS) would results in quality products and more revenues. Many different approaches and method have been tried to implement FDDS. Most of the...

In industrial fabric productions, automated real time systems are needed to find out the minor defects. It will save the cost by not transporting defected products and also would help in making compmay image of quality fabrics by sending out only undefected products. A real time fabric defect detection system (FDDS), implementd on an embedded DSP p...

This paper discusses a vision based health monitoring system which would be very easy in use and deployment. Elder and sick people who are not able to talk or walk, they are dependent on other human beings for their daily needs and need continuous monitoring. The developed system provides facility to the sick or elder person to describe his or her...

Hand Gesture is a popular way to interact or control machines and it has been implemented in many applications. The geometry of hand is such that it is hard to construct in virtual environment and control the joints but the functionality and DOF encourage researchers to make a hand like instrument. This paper presents a novel method for fingertips...

Many vision based applications have used fingertips to track or manipulate gestures in their applications. Gesture identification is a natural way to pass the signals to the machine, as the human express its feelings most of the time with hand expressions. Here a novel time efficient algorithm has been described for fingertip detection. This method...

This paper proposes an improved steganography approach for hiding text messages in lossless RGB images. The objective of this work is to increase the security level and to improve the storage capacity with compression techniques. The security level is increased by randomly distributing the text message over the entire image instead of clustering wi...

In Computer Vision, colour-based spatial techniquesoften assume a static skin colour model. However, skin colour perceived by a camera can change when lighting changes. In common real environment multiple light sources impinge on the skin. Moreover, detection techniques may vary when the image under study is taken under different lighting condition...

The numbers of the botnet attacks are increasing day by day and the detection of botnet spreading in the network has become very challenging. Bots are having specific characteristics in comparison of normal malware as they are controlled by the remote master server and usually dont show their behavior like normal malware until they dont receive any...

Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition. That said, fingertips are one of the important attributes for the detection of hand gestures and can provide valuable informatio...

Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition. That said, fingertips are one of the important attributes for the detection of hand gestures and can provide valuable informatio...

Full Paper can be downloaded from http://ojs.academypublisher.com/index.php/jsw/issue/view/342 Abstract A novel method to calculate the bended finger’s angle has presented here which could be used to control the electro-mechanical robotic hand. It is assumed that the robotic hand has the human hand like joints and same number of degree of freedom...

In the last few years gesture recognition and gesture-based human computer interaction has gained a significant amount of popularity amongst researchers all over the world. It has a number of applications ranging from security to entertainment. Gesture recognition is a form of biometric identification that relies on the data acquired from the gestu...

http://research.microsoft.com/en-us/events/techvista2012/techvista2012_selected_posters.pdf

This paper describes an intelligent system ABHIVYAKTI, which would be pervasive in nature and based on the Computer Vision. It would be very easy in use and deployment. Elder and sick people who are not able to talk or walk, they are dependent on other human beings and need continuous monitoring, while our system provides flexibility to the sick or...

Large Intelligent Systems are so complex these days that an urgent need for designing such systems in best available way is evolving. Modeling is the useful technique to show a complex real world system into the form of abstraction, so that analysis and implementation of the intelligent system become easy and is useful in gathering the prior knowle...

Human machine interaction is the most convenient way for sick, elder and children to control machines when they need to express themselves. Hand gestures provide a natural way to interact with the machine like interacting with the human being. Several efforts have been made to make the gesture recognition system robust, however this field is consid...

Fingertips detection has been used in many applications, and it is very popular and commonly used in the area of Human Computer Interaction these days. This paper presents a novel time efficient method that will lead to fingertip detection after cropping the irrelevant parts of input image. Binary silhouette of the input image is generated using HS...

In the certain applications, a human hand like robotic hand is needed to do the operations alike human can do. The fingers in the human hand have the capability to bend on different angles and they can apply the force or can hold an object. Current focus of our research is on controlling the robot fingers using vision based techniques, which have t...

Hand gestures recognition (HGR) is one of the main areas of research for the engineers, scientists and bioinformatics. HGR is the natural way of Human Machine interaction and today many researchers in the academia and industry are working on different application to make interactions more easy, natural and convenient without wearing any extra devic...

Hand gestures recognition (HGR) is one of the main areas of research for the engineers,scientists and bioinformatics. HGR is the natural way of Human Machine interaction and today manyresearchers in the academia and industry are working on different application to make interactions moreeasy, natural and convenient without wearing any extra device....

Hand gestures recognition (HGR) is one of the main areas of research for the engineers, scientists and bioinformatics. HGR is the natural way of Human Machine interaction and today many researchers in the academia and industry are working on different application to make interactions more easy, natural and convenient without wearing any extra devic...