Essays about: "Handspårning"
Found 5 essays containing the word Handspårning.
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1. Exploring Controller-Free Locomotion Techniques in Dynamic VR Environments : A Comparative Analysis of Eye- and Hand-Based Teleportation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Locomotion in VR is still a topic of exploration, as different solutions serve different purposes. Teleportation is an established technique for moving in virtual environments larger than physical space, but one area that has not been thoroughly investigated is controller-free teleportation, where users are not limited by intermediary devices for movement control. READ MORE
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2. Comparing Wrist Movement Analysis Technologies
University essay from KTH/Hälsoinformatik och logistikAbstract : The wrist is a body part that can be used during repetitive movements in many work environments. There is a need to measure these movements in order to notice harmful repetitive movements in advance. There are many different ways to measure these movements, such as with the use of a depth camera. READ MORE
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3. Real-time hand segmentation using deep learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Hand segmentation is a fundamental part of many computer vision systems aimed at gesture recognition or hand tracking. In particular, augmented reality solutions need a very accurate gesture analysis system in order to satisfy the end consumers in an appropriate manner. Therefore the hand segmentation step is critical. READ MORE
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4. Grasping Techniques With Hand Tracking in Virtual Reality and Its Effect on the Sense of Presence
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Interactions in virtual reality are mostly done using handheld controllers, but hand motion tracking is becoming popular as an alternative. This study explores different types of grasping techniques with hand motion tracking, for objects that should be held in a specific way in order to be used. READ MORE
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5. 3D Hand Pose Tracking from Depth Images using Deep Reinforcement Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Low-cost consumer depth cameras have enabled reasonable 3D hand pose trackingfrom single depth images. Such 3D hand pose tracking can be an integralpart of many computer vision applications such as gesture recognition and humanactivity tracking. READ MORE