Vision-based Finger Detection and Its Applications
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The document discusses computer vision techniques for finger detection and tracking, and their applications. It presents methods for fingertip detection using background subtraction, morphological operations and principal component analysis. Fingertip tracking is implemented using a Kalman filter. Two interactive systems are described: i-m-Top, a multi-touch tabletop, and MaC Ball, an interactive 3D display using a transparent ball. Both systems allow finger gestures to control digital content.
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This document summarizes the design and evaluation of a novel two degree-of-freedom wearable tactile system that can simulate digit normal and shear forces. The system consists of two wearable devices for the index finger and thumb connected to a microcontroller and graphical user interface. Tests showed the device can exert different shear forces on the fingertips with errors under 0.3 N and forces perceptible to users. The system was also able to simulate realistic digit-object interactions comparable to real manipulation contexts. The device has potential for integration with virtual reality systems to enable multisensory feedback during human-machine interactions.
Fingerprint Analaysis
This document summarizes a survey on enhancing and developing countermeasures for fingerprint authentication systems. It discusses common spoofing attacks and errors in fingerprint systems. It also reviews related work on fingerprint patterns and features. Methods to enhance fingerprint matching include thinning ridges, segmenting regions of interest, and extracting ridge contours. The document also discusses hardware-based and software-based liveness detection techniques to prevent spoofing, such as analyzing perspiration and texture. The goal of the survey is to improve fingerprint authentication performance and security by addressing vulnerabilities.
Comparative study of various enhancement techniques for finger print images
The document discusses various techniques for enhancing fingerprint images. It begins by explaining how fingerprints are used for biometric identification but that fingerprint images are often degraded, requiring enhancement techniques prior to minutiae extraction. The purpose of the study is to implement and evaluate different enhancement techniques on synthetic and real fingerprint images. It discusses how enhancement improves image quality and reliability of minutiae extraction, which is important for fingerprint-based identification and verification applications. The document also provides details on enrollment and identification processes using fingerprint biometrics.
Comparative study of various enhancement techniques for finger print images
The document discusses various techniques for enhancing fingerprint images. It begins by stating that fingerprints are widely used for biometric identification but can be degraded in quality. Various enhancement techniques are employed to improve image quality and enable more reliable minutiae extraction. The document evaluates different enhancement techniques on synthetic and real fingerprint images. It finds that combining wavelet filtering and anisotropic filtering effectively enhances low-quality fingerprints while preserving ridge structure details.
(Spring 2013) IT 345 Posters
This project tested three different signature recognition sensors - one with no visual feedback, one with back-lit visual feedback, and one using pen and paper - to determine which produced the highest recognition success rates and was preferred by users. 42 subjects used each sensor and provided feedback. The back-lit visual sensor had the highest success rate at 69% and was most preferred. The pen and paper sensor had the lowest success rate at 26% despite being preferred for its familiarity. Based on the results, the researchers recommend the back-lit sensor due to its balance of high recognition accuracy and positive user experience, though it has a higher price.
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Mar general pan hui ppt
Mobile augmented reality combines real and virtual worlds in an interactive and registered manner. It allows data to be directly overlaid on physical objects without additional displays. With augmented reality, users can interact with and visualize data without being removed from the real world. Some applications of mobile augmented reality include enhanced retail and tourism experiences, remote healthcare access, and assisted manufacturing. However, challenges remain in developing the underlying technologies, such as object tracking, localization, and natural user interfaces.
Revolutionizing Creativity and Communication: Introducing Air Canvas
1. The document introduces Air Canvas, an interactive drawing platform that allows users to paint in mid-air using hand gestures detected through computer vision techniques.
2. It leverages OpenCV and MediaPipe to monitor real-time hand movements with precision and translate hand gestures into strokes on a digital canvas.
3. This work underscores the potential of computer vision and gesture recognition for immersive, creative applications that bridge the gap between technology and art.
Sixth Sense Seminar ppt
The document discusses the Sixth Sense technology, a wearable gestural interface that augments the physical world with digital information. It can project information onto surfaces using a camera, projector and mirror. The technology recognizes hand gestures to allow interactions like getting maps, photos and product information without devices. It offers advantages like connectivity and accessibility but faces issues like privacy, health effects and lack of durability. The technology may transform fields like education, e-commerce and assistance for disabled people.
Interactive Projector Screen with Hand Detection Using LED Lights
There are many different ways to manipulate OS, we can use keyboard, mouse or touch screen. When doing presentation, it is inconvenient to control the OS and present at the same time. Our system, interactive wall, allows you to use hand to control OS on the projection screen but not touch screen. You can now experience a novel approach to control your cursor. Our system can be applied to the existing equipment, so we don’t need to purchase any expensive touch screen. The system requires one web camera to detect the hand and then you can start to experience our system. Also, three LED lights are required to put on the fingers to help the system to detect the location of the hand and the gesture performing.
Work completion seminar defence
This document summarizes Mahdi Babaei's master's thesis research on optimizing gesture recognition methods in virtual spaces. The research objectives are to study gesture recognition methods, design a digital space based on projections, study virtual reality interactions, test a gesture recognition prototype, and solve disadvantages. The proposed solution combines Microsoft Kinect skeletal tracking with accelerometer data to better track head and eye movements compared to Kinect alone. User studies show quantitative improvements like 19.41% faster speeds and qualitative improvements like a 14% average optimization in usability factors based on questionnaires.
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Scott MacKenzie at BayCHI: Evaluating Eye Tracking Systems for Computer Data ...
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survey on effectiveness of using fingerprint images in forensic research
survey on effectiveness of using fingerprint images in forensic research
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Comparative study of various enhancement techniques for finger print images
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Revolutionizing Creativity and Communication: Introducing Air Canvas
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