Sökning: "Game Analytics"
Visar resultat 1 - 5 av 17 uppsatser innehållade orden Game Analytics.
1. Sporten bandy beskriven genom sportanalys hos IK Sirius Bandy
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknikSammanfattning : This essay seeks to describe the sport of bandy using sports analytics while working with the Swedish Elitserien team Sirius Bandy. The task entails data collection, finding suitable analytical models and presenting their results in a helpful manner. The essay will also seek to confirm or deny some hypothesis about the sport of bandy. LÄS MER
2. Monocular 3D Human Pose Estimation
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The focus of this work is the task of 3D human pose estimation, more specifically by making use of key points located in single monocular images in order to estimate the location of human body joints in a 3D space. It was done in association with Tracab, a company based in Stockholm, who specialises in advanced sports tracking and analytics solutions. LÄS MER
3. Evaluating the Performance of Android and Web Applications for the 2048 Game : Using Firebase
Kandidat-uppsats, Blekinge Tekniska HögskolaSammanfattning : Background: In the rapidly evolving field of game development, the demand for diverse platform support is increasingly significant. This thesis explores the creation of a Unity-based game compatible with both Web and Android platforms, addressing the rising need for cross-platform gaming experiences. LÄS MER
4. Towards a Data-Driven Football Playbook
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : At a competitive level, football teams often have multiple matches per week. Thus, time can be a limited resource for match analysts tasked with analysing the performance of their team and its opponents. Increased availability of data in the field offers possibilities to automate processes to save time. LÄS MER
5. Player Activity Sequence Analysis Using Process Mining : Player churn prediction and Abnormal player sequences detection using process mining on the data from a live game
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background: Game analytics is a field that aims to analyze games and help in the enhancement of game development. Data mining is a prominent technique for game analytics. Recent advances in the field of process mining have motivated users to apply process mining to real-world scenarios in order to derive process-oriented insights. LÄS MER