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Infinite Haven: An Exploration of EDM Graphics

Description
My creative project involved the creation of a short, abstract animation set to EDM music. It's meant to mimic the graphics displayed in the background of EDM concerts and was inspired by Beeple and the graphics he designed for EDM artist, Zedd. Under the guidance of my director, Meredith Drum,…

My creative project involved the creation of a short, abstract animation set to EDM music. It's meant to mimic the graphics displayed in the background of EDM concerts and was inspired by Beeple and the graphics he designed for EDM artist, Zedd. Under the guidance of my director, Meredith Drum, and with help from my second committee member, Muriel Magenta, I was able to use Audacity to edit the music, Autodesk Maya 2016 to model and animate the animation, the HIDA render farm to render the frames using Maya Software and mentalray, Adobe After Effects CC to assemble and edit the animation, and Adobe Media Encoder to export the end product. The final animation included 20,855 individual frames, totaling to 14 minutes and 28 seconds in length. The project takes the viewer through seven worlds to express the idea of feeling isolated in your home, exploring the world, and then returning home with a new perspective. Each world evokes a different emotion through the interaction of its visual and audio design to allow the viewer to experience the intended storyline without explicit characters or plot detail. Due to the importance of maintaining plot flow, I utilized beautiful, yet difficult, design elements including glass textures, ocean shaders, and paint effects to create drastically different world designs specific to each song. These songs were chosen from a variety of EDM artists and edited to flow together seamlessly through each world and evoke a different emotion. Throughout the thesis process, I gained more skills in animation and editing and greatly improved my ability to use each application. While there is plenty of room to grow, I have improved exponentially as an artist from when I began this project to the moment I completed it.
ContributorsMallik, Ajanta Angie (Author) / Drum, Meredith (Thesis director) / Magenta, Muriel (Committee member) / The Design School (Contributor) / Department of Psychology (Contributor) / School of Social Transformation (Contributor) / School of Art (Contributor) / WPC Graduate Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2018-05

Data Collection App Demo.mp4

ContributorsDoyle, Niklas (Author) / Osburn, Steven (Thesis director) / Miller, Phillip (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05

Nudge Demo.mp4

ContributorsDoyle, Niklas (Author) / Osburn, Steven (Thesis director) / Miller, Phillip (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor) / School of Music, Dance and Theatre (Contributor)
Created2023-05
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Song Demo Accuracy User Study (Spring 2022)

Description

Spatial audio can be especially useful for directing human attention. However, delivering spatial audio through speakers, rather than headphones that deliver audio directly to the ears, produces the issue of crosstalk, where sounds from each of the two speakers reach the opposite ear, inhibiting the spatialized effect. A research team…

Spatial audio can be especially useful for directing human attention. However, delivering spatial audio through speakers, rather than headphones that deliver audio directly to the ears, produces the issue of crosstalk, where sounds from each of the two speakers reach the opposite ear, inhibiting the spatialized effect. A research team at Meteor Studio has developed an algorithm called Xblock that solves this issue using a crosstalk cancellation technique. This thesis project expands upon the existing Xblock IoT system by providing a way to test the accuracy of the directionality of sounds generated with spatial audio. More specifically, the objective is to determine whether the usage of Xblock with smart speakers can provide generalized audio localization, which refers to the ability to detect a general direction of where a sound might be coming from. This project also expands upon the existing Xblock technique to integrate voice commands, where users can verbalize the name of a lost item using the phrase, “Find [item]”, and the IoT system will use spatial audio to guide them to it.
ContributorsSong, Lucy (Author) / LiKamWa, Robert (Thesis director) / Berisha, Visar (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05