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  3. Machine Learning in Sports Machine Learning in Sports

Machine Learning in Sports

The physical and mental health of a population is sometimes the greatest potential of a society. It reduces costs on healthcare and the welfare state and promotes economic productivity.

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

27.01.2022 - 31.12.2022

Overview

This insight from recent decades is reflected in the current boom of the healthcare, sports, and fitness industries. With the acceleration of digitalization due to the COVID-19 pandemic, there is a growing demand for technological innovations in these fields. The goal of this seed funding is to tap into this untapped area of research and potential customers by building a network of contacts. Essential to this endeavor is analyzing the market and identifying issues and needs that can be addressed using machine learning (ML).

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Facts

Type of project

Forschung

Internal organisations involved
  • Algorithmic Business F&E
Funding
  • Andere interne Finanzierung
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Persons involved: internal

Project manager
  • Marc Pouly
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Persons involved: external

External member of project team
  • Solange Emmenegger

Brief information

School:

Computer Science and Information Technology

Status:

Completed

Period:

01/27/2022 - 12/31/2022

Project Head

Prof. Dr. Marc Pouly

Co-Head Applied AI Research Lab

+41 41 757 68 25

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Lucerne University of Applied Sciences and Arts


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info@hslu.ch

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