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Description
Last Hymn was created by the team of Tyler Pinho, Jefferson Le, and Curtis Spence with the desire to create an eccentric Role Playing Game focused on the exploration of a strange, dying world. Battles in the game are based off of rhythm games like Dance Dance Revolution using a procedural generation algorithm that makes every encounter unique. This is then complemented with the path system where each enemy has unique rhythm patterns to give them different types of combat opportunities. In Last Hymn, the player arrives on a train at the World's End Train Station where they are greeted by a mysterious figure and guided to the Forest where they witness the end of the world and find themselves back at the train station before they left for the Forest. With only a limited amount of time per cycle of the world, the player must constantly weigh the opportunity cost of each decision, and only with careful thought, conviction, and tenacity will the player find a conclusion from the never ending cycle of rebirth. Blending both Shinto architecture and modern elements, Last Hymn used a "fantasy-chic" aesthetic in order to provide memorable locations and dissonant imagery. As the player explores they will struggle against puzzles and dynamic, rhythm based combat while trying to unravel the mystery of the world's looping time. Last Hymn was designed to develop innovative and dynamic new solutions for combat, exploration, and mapping. From this project all three team members were able to grow their software development and game design skills, achieving goals like improved level design, improved asset pipelines while simultaneously aiming to craft an experience that will be unforgettable for players everywhere.
ContributorsPinho, Tyler (Co-author) / Le, Jefferson (Co-author) / Spence, Curtis (Co-author) / Nelson, Brian (Thesis director) / Walker, Erin (Committee member) / Kobayashi, Yoshihiro (Committee member) / Computer Science and Engineering Program (Contributor) / Computing and Informatics Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-12
Description
Emerging body movement detection and gesture recognition software have opened a gateway of possibilities to make technology more intuitive, engaging, and accessible for people. A vast areaof natural user interfaces is leveraging body motion tracking and gesture recognition technologies and a human’s readily expressive body to extend interactions with software beyond mouse clicks and scrolls. However, these interfaces have been limited by hardware and software expenses, high development time and costs, and learning curves. This paper explores different approaches to providing both software developers and designers with easier ways to incorporate computer vision-based body and gesture detection solutions into the development of embodied experiences without suppressing creativity. Gesture.js is a JavaScript framework as a service (FaaS) that is both a thin library on top of the Document Object Model (DOM) consisting of a collection of tools for developing embodied-enabled applications on the web and a landmark computation and processing application programming interface. It wraps MediaPipe, an open-source collection of machine-learning solutions that perform inference over arbitrary sensory data, and additional landmark processing frameworks such as KalidoKit, a 3D model rigging solution, and ports the necessary information through either an object-oriented or an API-oriented implementation. It also comes with its web-based graphical interface for easy connection between Gesture.js and other application clients with little to no JavaScript code. This thesis also details a collection of example applications that demonstrate the usability, capacity, and potential of this framework.
ContributorsFowler, Azaria (Author) / Gowda, Tejaswi (Thesis advisor) / Kuznetsov, Anastasia (Committee member) / Kobayashi, Yoshihiro (Committee member) / Arizona State University (Publisher)
Created2022
Description
The influx of readily available sports data has transformed the landscape of recruitment analysis conducted in European soccer leagues. Clubs now have access to a repository of information that helps to monitor the status of current players and filter those they wish to recruit. Supplemented by extensive financial backing, the teams in the English Premier League have shifted from a local, more traditional approach to a focus on the acquisition of players in international markets. This paper analyzes the rapid effects of implementing a data-driven approach to recruitment and argues that the dominance of Liverpool in the EPL from 2017 to 2022 has stemmed from a superior focus in this data-driven recruitment compared to other clubs in the league, specifically Manchester United. Other teams have recently shifted their structures to model the modern, fast flow of data that the two European super clubs manage each season yet consistently fail to match either. Furthermore, this project establishes the feasible prospect of clubs prioritizing their staffing for data over other departments, including players.
ContributorsKhan, Samdeet (Author) / Watrous, Lisa (Thesis director) / Gowtham, S. (Committee member) / Barrett, The Honors College (Contributor) / College of Integrative Sciences and Arts (Contributor) / Computing and Informatics Program (Contributor)
Created2022-05
Description
The process of learning a new skill can be time consuming and difficult for both the teacher and the student, especially when it comes to computer modeling. With so many terms and functionalities to familiarize oneself with, this task can be overwhelming to even the most knowledgeable student. The purpose of this paper is to describe the methodology used in the creation of a new set of curricula for those attempting to learn how to use the Dynamic Traffic Simulation Package with Multi-Resolution Modeling. The current DLSim curriculum currently relates information via high-concept terms and complicated graphics. The information in this paper aims to provide a streamlined set of curricula for new users of DLSim, including lesson plans and improved infographics.
ContributorsMills, Alexander (Author) / Zhou, Xuesong (Thesis director) / Chen, Yinong (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor)
Created2022-05