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Filtering by: Creator Schnier, Kurt E. Remove constraint Creator: Schnier, Kurt E. Degree Field Computer Science Remove constraint Degree Field: Computer Science Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.) License All rights reserved Remove constraint License: All rights reserved

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  • Predicting activity type from accelerometer data

    Creator:
    Zheng, Yonglei
    Abstract:
    The study of physical activity is important in improving people’s health as it can help people understand the relationship between physical activity and health. Accelerometers, due to its small size, low cost, convenience and its ability to provide objective information about the frequency, intensity, and duration of physical activity, has...
    Resource Type:
    Masters Thesis

  • Interactive human locomotion using motion graphs and mobility maps

    Creator:
    Srinivasan, Madhusudhanan
    Abstract:
    Graph-based approaches for sequencing motion capture data have produced some of the most realistic and controllable character motion to date. Most previous graph-based approaches have employed a run-time global search to find paths through the motion graph that meet user-defined constraints such as a desired locomotion path. Such searches do...
    Resource Type:
    Masters Thesis
    Full Text:
    components of a graph C (V,E)......................................... 24 3.7 Computing a stateaction graph

  • Fluid flow on interacting, deformable surfaces

    Creator:
    Neill, Patrick
    Abstract:
    Fluid simulation is an interesting research problem with a wide range of applications including mechanical engineering, special effects in movies and games, and scientific simulation. Due to the complex nature of typical fluid flow equations, there are circumstances where a full volumetric fluid simulation may not be necessary to generate...
    Resource Type:
    Masters Thesis

  • Practices for Engineering Gender-Inclusivity into Software

    Creator:
    Hilderbrand, Claudia
    Abstract:
    Although the need for gender-inclusivity in software itself is gaining attention among both SE researchers and SE practitioners, and methods have been published to help, little has been reported on how to make such methods work in real-world settings. For example, how do busy software practitioners use such methods in...
    Resource Type:
    Masters Thesis

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis

  • Painterly rendering using space-time varying style parameters

    Creator:
    Kagaya, Mizuki
    Abstract:
    Automatic painterly rendering systems have been proposed but they opted for selecting a single style to generate paintings from images, which lacks the ability of creatively using multiple styles to focus important objects and deemphasize unimportant part of the scenes. We provide a multi-style painting framework to address this issue...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . . 15 3.4 Stroke attributes include (a) size, (b) length, (c) density, (d) opacity, (e) position jitter

  • Towards the Design and Evaluation of Effective Educational Virtual Reality Applications

    Creator:
    Rangarajan, Vaishnavi
    Abstract:
    With the rapid advancement of educational technology and the need for personalized, engaging content to accommodate diverse learning needs, Virtual Reality (VR) holds promises for the present and future. However, VR applications suffer from challenges, including usability concerns, lack of pedagogical value, and evaluation standards. This thesis focuses on two...
    Resource Type:
    Masters Thesis
    Full Text:
    ]. Bouras et al. [12] proposed a set of design principles for constructing collaborative e-learning