Computer Vision Based Interfaces
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This piece discusses Computer vision based interfaces (CVBI), which is one of the emerging Human-Computer Interaction technologies
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Real time hand gesture recognition system for dynamic applications
Virtual environments have always been considered as a means for more visceral and efficient human computer interaction by a diversified range of applications. The spectrum of applications includes analysis of complex scientific data, medical training, military simulation, phobia therapy and virtual prototyping.
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not sufficient for the still widening spectrum of Human computer interaction. Gloves and sensor based trackers are unwieldy, constraining and uncomfortable to use. Due to the limitation of these devices the useable command set based diligences is also limited. Direct use of hands as an input device is an
innovative method for providing natural Human Computer Interaction which has its inheritance from textbased interfaces through 2D graphical-based interfaces, multimedia-supported interfaces, to full-fledged multi-participant Virtual Environment (VE) systems. Conceiving a future era of human-computer
interaction with the implementations of 3D application where the user may be able to move and rotate objects simply by moving and rotating his hand - all without help of any input device.
Real time hand gesture recognition system for dynamic applications
Virtual environments have always been considered as a means for more visceral and efficient human computer interaction by a diversified range of applications. The spectrum of applications includes analysis of complex scientific data, medical training, military simulation, phobia therapy and virtual prototyping. Evolution of ubiquitous computing, current user interaction approaches with keyboard, mouse and pen are not sufficient for the still widening spectrum of Human computer interaction. Gloves and sensor based trackers are unwieldy, constraining and uncomfortable to use. Due to the limitation of these devices the useable command set based diligences is also limited. Direct use of hands as an input device is an innovative method for providing natural Human Computer Interaction which has its inheritance from textbased interfaces through 2D graphical-based interfaces, multimedia supported interfaces, to full-fledged multi-participant Virtual Environment (VE) systems. Conceiving a future era of human-computer interaction with the implementations of 3D application where the user may be able to move and rotate objects simply by moving and rotating his hand - all without help of any input device. The research effort centralizes on the efforts of implementing an application that employs computer vision algorithms and gesture recognition techniques which in turn results in developing a low cost interface device for interacting with objects in virtual environment using hand gestures. The prototype architecture of the application comprises of a central computational module that applies the camshift technique for tracking of hands and its gestures. Haar like technique has been utilized as a classifier that is creditworthy for locating hand position and classifying gesture. The patterning of gestures has been done for recognition by mapping the number of defects that is formed in the hand with the assigned gestures. The virtual objects are produced using Open GL library. This hand gesture recognition technique aims to substitute the use of mouse for interaction with the virtual objects. This will be useful to promote controlling applications like virtual games, browsing images etc in virtual environment using hand gestures.
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Sixth Sense technology allows users to integrate digital information into the physical world using hand gestures. A sixth sense device consists of a camera, projector, and smartphone that allows users to interact with surfaces like touching a screen. The camera tracks colored markers on the user's fingers to interpret gestures and send data to the smartphone for processing. The smartphone searches the web based on gestures and the projector projects the digital information onto physical surfaces, blending the digital and physical worlds. Potential applications include using gestures to access maps, photos, product information or make drawings in open spaces.
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Design of Image Projection Using Combined Approach for Tracking
Over the years the techniques and methods that have been used to interact with the
computers have evolved significantly. From the primitive use of punch cards to the latest touch screen
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methodologies. Also projection technology is very useful for creating various geometric displays. In
earlier generations, the projector technology was used for projecting images and videos on single
screen, using large and bulky setup. To overcome the earlier limitations we are designing “Wireless
Image Projection Tracking”, which is a system that uses IR (Infrared) technology to track the body in
the IR range and uses their movements for image orientation and manipulations like zoom, tilt/rotate,
and scale. We are presenting a method of mapping IR light source position and orientation to an
image. By using this system we can also track single and multiple IR light source positions and also it
can be used effectively to see the image projection in 3D view. Extension in this technology can further
be useful for future tracking capabilities to implement the touch screen feature for commercial
applications.
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This is a simple introduction to computer vision along with important and significant applications of computer vision in real-life.
Human Computer Interaction Based HEMD Using Hand Gesture
Hand gesture based Human-Computer-Interaction (HCI) is one of the most normal and spontaneous ways to communicate between people and apparatus to present a hand gesture recognition system with Webcam, Operates robustly in unrestrained environment and is insensible to hand variations and distortions. This classification consists of two major modules, that is, hand detection and gesture recognition. Diverse from conventional vision-based hand gesture recognition methods that use color-markers for hand detection, this system uses both the depth and color information from Webcam to detect the hand shape, which ensures the sturdiness in disorderly environments. Assurance its heftiness to input variations or the distortions caused by the low resolution of webcam, to apply a novel shape distance metric called Handle Earth Mover's Distance (HEMD) for hand gesture recognition. Consequently, in this paper concept operates accurately and efficiently. The intend of this paper is to expand robust and resourceful hand segmentation algorithm where three algorithms for hand segmentation using different color spaces with required thresholds have were utilized. Hand tracking and segmentation algorithm is found to be most resourceful to handle the challenge of apparition based organization such as skin dye detection. Noise may hold, for a moment, in the segmented image due to lively background. Tracking algorithm was developed and applied on the segmented hand contour for elimination of unnecessary background noise
Saksham presentation
Computer vision can be used for many applications like facial expression detection, camera mice that move the cursor based on head movements, detecting text and defects. It allows those with limited mobility to interact with computers. Computer vision tasks include image processing, feature extraction, object detection and more. Major applications include manufacturing defect detection, barcode and text reading, and computer vision is a key technology enabling self-driving cars.
Sixth sense technology,veenit
This document provides an overview of the Sixth Sense technology developed by Pranav Mistry. It describes the components of Sixth Sense, which include a camera, projector, and mirror coupled in a wearable pendant. The camera tracks hand gestures and objects in view, the projector displays digital information on surfaces, and the mirror reflects the image. Using colored markers and gesture recognition, Sixth Sense allows users to interact with and manipulate projected information in natural ways. A number of potential applications are outlined, such as making calls, getting directions, taking photos, and accessing information about products, books, and people. Advantages include support for multi-touch interaction, portability, and a connected experience between the digital and physical worlds.
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Computer Vision Based Interfaces
- 1. By Samuel Kibbs Computer Vision Based Interfaces
- 2. Introduction Computer vision based interfaces (CVBI)is one of the emerging HCI technologies. This technology enables the computer to acquire and process images and gestures. It enables computers to interpret gestures such as waving and raising hands. It also enable computers to gather information from the environment through computer sight/ observation.
- 3. Concept Vision is one the main avenues that human use to collect information. CVBI technology seek to equip computers with the same capability. It seek to enable computers to collect and analyze information from the environment through visualization. It entails fitting computers with capabilities for collecting and processing information from images.
- 4. Technologies 1. Image acquisition device: Act as the computer eyes as it relays image to the computer. May include: Light sensitive cameras Sensors Radar imaging Structured-light 3D scanners Magnetic resonance imaging 2. Image understanding system/ Graphic Processing units Processes the image conveyed to the computer May process primitive features such as shape, size and texture May also process advanced features such as events, objects, and scenes.
- 5. Application Consumer electronics such as televisions. Mechanical systems such as elevators Computer games Visualization systems Modeling environments or objects Estimating position of objects Facial recognition in security systems
- 6. Application Scene reconstruction in law enforcement Event detection in surveillance activities Object recognition Navigation Automatic inspection of industrial machines Motion analysis Image restoration
- 7. Benefits Enables users to communicate with computing devices at a distance without physical contact. Beneficial to users with physical disability Also suitable in situation where speech commands would cause nuisance.
- 8. Development Challenges The computer could interpret any kind of activity within the environment as a manipulating action. There is no single method of image recognition that is suitable for all applications. There are also challenges of reliability, cost and speed.
- 9. References Tofighi, G., Raahemifar, K., Frank, M., & Gu, H. (2016). Vision-based engagement detection in virtual reality. Paper presented at the Digital Media Industry and Academic Forum. Santorini, Greece. Badi, H., (2016). A survey on recent vision-based gesture recognition. Intelligent Industrial Systems, 2(2), 179- 191.
- 10. References Tofighi, G., Raahemifar, K., Frank, M., & Gu, H. (2016). Vision-based engagement detection in virtual reality. Paper presented at the Digital Media Industry and Academic Forum. Santorini, Greece. Badi, H., (2016). A survey on recent vision-based gesture recognition. Intelligent Industrial Systems, 2(2), 179- 191.