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In the recent times, the smart phones have become versatile that they are used for sensitive applications such as m-banking, m-commerce, m-governance, m-health, digital marketing, SMS and have become a vital gadget to share posts in social networking applications such as Facebook, Twitter, WhatsApp and others. It is also used for online gaming, surfing, chatting and also used for storing the personal...
Smartphones nowadays are customized to help users with their daily tasks such as storing important data or making transactions through the internet. With the sensitivity of the data involved, authentication mechanism such as fixed-text password, PIN, or unlock patterns are used to safeguard these data against intruders. However, these mechanisms have the risk from security threats such as cracking...
Hand gesture is one of the method used in sign language for non-verbal communication. It is most commonly used by deaf & dumb people who have hearing or speech problems to communicate among themselves or with normal people. Various sign language systems has been developed by many makers around the world but they are neither flexible nor cost-effective for the end users. Hence in this paper introduced...
This paper presents a novel design of a compact and light-weight robotic hand for a social humanoid robot. The proposed system is able to perform common hand gestures and self-adaptable grasps by mixing under-actuated and self-adaptable hand kinematics in a unique design. The hand answers the need for precise finger postures and sensor-less force feedback during gestures and for finger adaptation...
All over the world deaf and dump people face many problems while communication. There are various challenges experienced by speech and hearing impaired people at public places in expressing themselves to normal people. The objective of this paper is to provide the solution to this problem. To reduce the communication gap between the common people and speech impaired people the proposed system is designed...
This paper presents a method of gesture recognition based on Leap Motion controller in the virtual maintenance training system. In order to realize the real action of the hand in the maintenance, we establish virtual hand model by combining the characteristics of Leap Motion device. The virtual hand model includes the use of the tool to enhance the diversity of maintenance actions. We analyze the...
This paper presents a numerical method to conceive and design the kinematic model of an anthropomorphic robotic hand used for gesturing and grasping. In literature, there are few numerical methods for the finger placement of human-inspired robotic hands. In particular, there are no numerical methods, for the thumb placement, that aim to improve the hand dexterity and grasping capabilities by keeping...
In this paper, we propose a three-dimensional gesture interactive system design of home automation for physically handicapped people. In order to provide a convenient and comfortable environment, we design a finger and hand gesture user interface for physically handicapped people based on stereo cameras to achieve remote control and gesture recognition system. We use stereo camera to capture stereo...
There are a lot of home appliances and personal computers around us. However, few of the user interfaces are designed on user-centric approaches. In this study, as an interface focusing on the ease of use, we develop a system to control personal computer by applying the natural behavior of human. Research issues include the definition of the association between the PC operations and gestures, the...
User experience has gained great attention in recent years, and with rapid change in technology, understanding user's emotions and whether or not they are happy has become crucial, in order to offer better solutions and experience to the user. This paper presents a synthesis of affective computing research on frustration detection in interactive systems. Two tabletop systems for hand gesture frustration...
This paper proposes a fast hand detection method by employing corner detector to solve the finger fragment problem occurred during hand detection. Weshrink the ROI into a much smaller range while performing corner detection which can reduce the time consumption efficiently. The proposed method needs neither data training nor wrist segmenting. It also does not need to find the contour of hand. These...
In an E-learning classroom, students and professors are at different geographic locations. In the present E-learning system, the professor and the student interact with each other through simple internet applications. The disadvantage in this type of classroom set-up is that students in a remote location will not receive the same attention as those ones in a real classroom. Students in a remote location...
Control within a First Person Shooter (FPS) traditionally involves one of two methods of input - primarily a gamepad or the combination of keyboard and mouse. Recent advances in hardware now allow users to engage with digital media through gesture alone, opening new possibilities for interaction techniques. In this paper, we present the results of a study on using single-hand gestures to control a...
Human-Computer Interaction (HCI) using intelligent artificial computing interface is a fast emerging and revolutionary field of study of computer vision. This present study is concerned with making computers responsive to human gestures and postures. In this paper a simple alternative method for hand gesture recognition system has been proposed. The system takes various fingers postures and try to...
Most work on Freehand Gestural Interaction has focused on high-energy expressive interfaces for expert user. In this work, we examine the use of hand poses in laid-back freehand gestural interactions for novice users and examine the factors that impact gesture performance. Through two Wizard-of-Oz studies, one leading to the other, we observe how novice users behave under relaxed conditions. The first...
A remote control is presented that enables finger disabled people to easily control various types of devices and appliances. It uses an Android smartphone, a Bluetooth/infrared conversion unit, and user gestures. Experimental evaluation demonstrated that it is easily usable by non-disabled people, except for the electronic program guide function.
Hand pose recognition has been a problem of great interest to the Computer Vision and Human Computer Interaction community for many years and the current solutions either require additional accessories at the user end or enormous computation time. These limitations arise mainly due to the high dexterity of human hand and occlusions created in the limited view of the camera. This work utilizes the...
Hand pose and gesture recognition methods have been based on many properties of hand images, but using finger recognition is unique. Here we describe hand pose from finger recognition, its limitations and its advantages. The implementation is being used for some real applications, including interfaces and computer games, and has a success rate of over 98%.
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