Essays about: "eye tracker"
Showing result 21 - 25 of 75 essays containing the words eye tracker.
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21. Comparison and evaluation of cross-platform framework and development of a digital health platform using selected framework
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Application development is becoming more challenging with diverse platforms, their software development kits, and development technology that is in constant evolution. Developers are switching to cross-platform application development tools in order to cut development costs and reach as many people as possible across several platforms. READ MORE
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22. Classification of discrete stress levels in users using eye tracker and K- Nearest Neighbour algorithm
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : The advancement of the Head Mounted Display (HMD) used for Virtual Reality (VR) has come a long way and now the option of eye tracking is available in some HMD. The eyes show physiological responses when healthy individuals are stressed, justifying eye tracking as a tool to estimate at minimum, the very presence of stress. READ MORE
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23. Object Tracking based on Eye Tracking Data : A comparison with a state-of-the-art video tracker
University essay from Linköpings universitet/DatorseendeAbstract : The process of locating moving objects through video sequences is a fundamental computer vision problem. This process is referred to as video tracking and has a broad range of applications. READ MORE
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24. Posner Cueing Paradigm in Augmented Reality Environment
University essay from Lunds universitet/Ergonomi och aerosolteknologiAbstract : Posner Cueing Task is an experiment to investigate the eect dierent type of stimulis could have on the visual attention. This master thesis aimed to implement a Posner Cueing Task in an Argumented Reality using a integrated eye tracker. The thesis were divided into two distinct parts. READ MORE
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25. A Confidence Measure for Deep Convolutional Neural Network Regressors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Deep convolutional neural networks can be trained to estimate gaze directions from eye images. However, such networks do not provide any information about the reliability of its predictions. As uncertainty estimates could enable more accurate and reliable gaze tracking applications, a method for confidence calculation was examined in this project. READ MORE