Survey on Hand Gesture Recognition Approaches

As Computers turn out to be more unavoidable in the public eye, encouraging characteristic human– Computer Interaction (HCI) will positively affect their utilization. Subsequently, there has been developing enthusiasm for the advancement of new methodologies and innovations for crossing over the human computer hindrance. A definitive point is to convey HCI to an administration where associations with PCs will be as normal as a connection between humans, and to this end, incorporating gestures in HCI is a crucial research area. Gestures have for some time been considered as a collaboration strategy that can conceivably convey more innovative, pure and natural strategies for speaking with our computers. This paper gives an examination of provisional surveys done in this area. The adoption of hand gestures as a characteristic interface fills in as a spurring power for look into in gesture anatomy, its portrayals and recognition strategies, programming stages and structures which are examined in this paper. It centre's around the three principle periods of hand gesture recognition i.e. discovery, tracking and recognition. This paper likewise gives an examination of existing writing identified with gesture recognition frameworks for human PC cooperation by classifying it under various key parameters. The primary objective of this review is to give analysts in the field of gesture based HCI with an outline of advance accomplished to date.

Gesture recognition is topic in computer science and is mainly apprehensive on analyzing and interpreting the functionality of human gestures with a use of mathematical algorithm. Gestures include the movement of hand, arm, body, legs or only eyes. Hand gestures are a backbone for expressing once idea when deliver through speech. Hand gesture recognition specially is a modern way of interaction in which human being is able to interact with the machine in a very easy and convenient way without any external device. In this survey paper we will discuss and compare the various methodologies used in hand gesture algorithm.

This paper presents simple as well as effective methods to realize hand gesture recognition. Gesture recognition is mainly apprehensive on analysing the functionality of human Intelligence. The main aim of gesture detection and recognition is to design an efficient system which is able to recognize particular human gestures and use these detected gestures to transfer information or for controlling devices. Hand gestures enable a vivid complementary modal to communicate with speech for expressing ones thought of idea. The information which is associated with hand gestures detection in a conversation is extent or degree, detection discourse structure, spatial and temporal design structure. Based on the above given points the paper discusses various models of gesture detection and recognition.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

User Interface (UI) and Human Computer Interaction (HCI) have come a long way from the time computers went personal. The constant work and research done to explore HCI allows for new ways and improvements. Hand gesture recognition is part of HCI that quickly picked up after the advancements in computer hardware and machine learning, particularly computer vision. Hand gesture recognition is a natural alternative to interact with computer as compared to mechanical devices(mouse, keyboard, etc),just as we interact with other humans through hand gestures. We review the existing tools and techniques that make hand gesture possible today, along with some common pitfalls and potential fixes.

One of the most wonderful gift of nature in our world to the human being to see everything, to listen everything and then reacts to the situations by speaking. But there are some less fortune ones who are deprived of this wonderful gift. That type ofhuman beings are mainly called as "Deaf and Dumb" people. So Howthe "Deaf and Dumb" will communicate with normal people?. Sign language is a language for "Deaf and Dumb" people. By Sign Language, "Deaf and Dumb" people will communicate their feelings Hand gesture is a method of nonverbalcommunication for human beings for its freer expressions much more other than body parts. The "Hand", "Arm", "Eyes", "Lips" and "Face" are the body parts which are using to show the expression.

Hand gesture recognition system received great attention in the recent few years because of its manifoldness applications and the ability to interact with machine efficiently through human computer interaction. In this paper a survey of recent hand gesture recognition systems is presented. Key issues of hand gesture recognition system are presented with challenges of gesture system. Review methods of recent postures and gestures recognition system presented as well. Summary of research results of hand gesture methods, databases, and comparison between main gesture recognition phases are also given. Advantages and drawbacks of the discussed systems are explained finally.

A Human Computer Interaction(HCI) between computers and human understands human language and develop a user friendly interface. Gestures a non-verbal form of communication provides the HCI interface. The goal of gesture recognition is to create a system which can identify specific human gestures and use them to convey information or for device control. Real-time vision-based hand gesture recognition is considered to be more and more feasible for HCI with the help of latest advances in the field of computer vision and pattern recognition. T his survey papers deals with discussion of various techniques ,methods and algorithms related to the gesture recognition. The hand gesture is the most easy and natural way of communication. Hand gesture recognition has the various advantages of able to communicate with the Technology through basic sign language. The gesture will able to reduce the use of most prominent hardware devices which are used to control the activities of computer.

Artificial Intelligence Review, 2012

As computers become more pervasive in society, facilitating natural humancomputer interaction (HCI) will have a positive impact on their use. Hence, there has been growing interest in the development of new approaches and technologies for bridging the human-computer barrier. The ultimate aim is to bring HCI to a regime where interactions with computers will be as natural as an interaction between humans, and to this end, incorporating gestures in HCI is an important research area. Gestures have long been considered as an interaction technique that can potentially deliver more natural, creative and intuitive methods for communicating with our computers. This paper provides an analysis of comparative surveys done in this area. The use of hand gestures as a natural interface serves as a motivating force for research in gesture taxonomies, its representations and recognition techniques, software platforms and frameworks which is discussed briefly in this paper. It focuses on the three main phases of hand gesture recognition i.e. detection, tracking and recognition. Different application which employs hand gestures for efficient interaction has been discussed under core and advanced application domains. This paper also provides an analysis of existing literature related to gesture recognition systems for human computer interaction by categorizing it under different key parameters. It further discusses the advances that are needed to further improvise the present hand gesture recognition systems for future perspective that can be widely used for efficient human computer interaction. The main goal of this survey is to provide researchers in the field of gesture based HCI with a summary of progress achieved to date and to help identify areas where further research is needed.

The interaction between human and computer is becoming stronger day by day. Gesture recognition plays an effective role against the issues of different applications. This consists of various aided tools and gesture detection and classification algorithms and techniques. This paper introduces the main stages for constructing hand gesture classification system and investigates various studies that utilized different algorithms and techniques. Gesture recognition system challenges that hinder the performance of any recognition system related to complexity, accuracy and speed problem have been explained. Comparisons between various recognition factors are demonstrated as well in the conclusion and results.

IJCSIS Vol 17 No. 3, 2019

Abstract— In this paper we look into detection of hand gesture and tracking. First we discuss about the previous works done using hand gestures, and then we analyze the basic principles regarding it. Hand gestures are an interesting interaction insight in a variety of computer applications. Likewise few devices are included here for acknowledgment, for example, HMM, ANN, Particle Filtering and Condensation Calculation and some more .Then we look into the other approaches used for gesture recognition like glove-based approaches, depth-based approaches, vision-based approaches, colored marker approaches and also described about fingertip location utilizing convex hull. Keywords- Hand Posture ,Classifier, Feature Extraction, HMM, Computer Vision, Open-CV,CNN.