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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
11

Optické metody rozeznání gest / Optical methods of gesture recognition

Netopil, Jan January 2016 (has links)
This thesis deals with optical devices and methods image processing for recognizing hand gestures. The types of gestures, possible applications, contact based devices and vision based devices are described in thesis. Next, a review of hand detection, features extraction and gesture classification is provided. Proposed gesture recognition system consists of infrared camera FLIR A655sc, infrared FLIR Lepton module, webcam Logitech S7500, method for hand gesture analysis and a database of gestures for classification. For each of the devices, gesture recognition is evaluated in terms of speed and accuracy in different environments. The proposed method was implemented in MATLAB.
12

Combining Eye Tracking and Gestures to Interact with a Computer System

Rådell, Dennis January 2016 (has links)
Eye tracking and gestures are relatively new input methods, changing the way humans interact with computers. Gestures can be used for games or controlling a computer through an interface. Eye tracking is another way of interacting with computers, often by combining with other inputs such as a mouse or touch pad. Gestures and eye tracking have been used in commercially available products, but seldom combined to create a multimodal interaction. This thesis presents a prototype which combines eye tracking with gestures to interact with a computer. To accomplish this, the report investigates different methods of recognizing hand gestures. The aim is to combine the technologies in such a way that the gestures can be simple, and the location of a user’s gaze will decide what the gesture does. The report concludes by presenting a final prototype where the gestures are combined with eye tracking to interact with a computer. The final prototype uses an IR camera together with an eye tracker. The final prototype is evaluated with regards to learnability, usefulness, and intuitiveness. The evaluation of the prototype shows that usefulness is low, but learnability and intuitiveness are quite high. / Eye tracking och gester är relativt nya inmatningsmetoder, som förändra sättet människor interagerar med datorer. Gester kan användas för till exempel spel eller för att styra en dator via ett gränssnitt. Eye tracking är ett annat sätt att interagera med datorer, ofta med hjälp av genom att kombinera med andra styrenheter såsom en mus eller styrplatta. Gester och eye tracking har använts i kommersiellt tillgängliga produkter, men sällan kombinerats för att skapa en multimodal interaktion. Denna avhandling presenterar en prototyp som kombinerar eye tracking med gester för att interagera med en dator. För att åstadkomma detta undersöker rapporten olika metoder för att känna igen gester. Målet är att kombinera teknologierna på ett sådant sätt att gestern kan vara enkla, och platsen för användarens blick kommer bestämma vad gesten gör. Rapporten avslutas genom att presentera en slutlig prototyp där gester kombineras med eye tracking för att interagera med en dator. Den slutliga prototypen använder en IR kamera och en eye tracker. Den slutliga prototypen utvärderas med avseende på lärbarhet, användbarhet, och intuition. Utvärderingen av prototypen visar att användbarheten är låg, men både lärbarhet och intuition är ganska höga.
13

Human computer interface based on hand gesture recognition

Bernard, Arnaud Jean Marc 24 August 2010 (has links)
With the improvement of multimedia technologies such as broadband-enabled HDTV, video on demand and internet TV, the computer and the TV are merging to become a single device. Moreover the previously cited technologies as well as DVD or Blu-ray can provide menu navigation and interactive content. The growing interest in video conferencing led to the integration of the webcam in different devices such as laptop, cell phones and even the TV set. Our approach is to directly use an embedded webcam to remotely control a TV set using hand gestures. Using specific gestures, a user is able to control the TV. A dedicated interface can then be used to select a TV channel, adjust volume or browse videos from an online streaming server. This approach leads to several challenges. The first is the use of a simple webcam which leads to a vision based system. From the single webcam, we need to recognize the hand and identify its gesture or trajectory. A TV set is usually installed in a living room which implies constraints such as a potentially moving background and luminance change. These issues will be further discussed as well as the methods developed to resolve them. Video browsing is one example of the use of gesture recognition. To illustrate another application, we developed a simple game controlled by hand gestures. The emergence of 3D TVs is allowing the development of 3D video conferencing. Therefore we also consider the use of a stereo camera to recognize hand gesture.

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