Challenged designed by Armando Garcia Noguero
Fitness trackers are a relatively new and exciting technology used to track fitness data as you live your everyday life. The technology used in these types of devices is low-tech and can be recreated from home. In this challenge, you will use MATLAB® and MATLAB Mobile® to make your own fitness tracker. Using sensor data collected with your phone, the goal is to create a model to turn this data into usable results to inform someone about their workout's effectiveness. This usable information could include any sort of fitness data such as calories burned, steps taken, or flights climbed. Your task is to figure out what information you want to output and how to make a model to output this information. If possible, these models should utilize machine or deep learning techniques. Once you have a model and results, you will need to present your findings in an easy-to-understand manner.
Fitness trackers are a relatively new and exciting technology used to track fitness data as you live your everyday life. The technology used in these types of devices is low-tech and can be recreated from home. In this challenge, you will use MATLAB® and MATLAB Mobile® to make your own fitness tracker. Using sensor data collected with your phone, the goal is to create a model to turn this data into usable results to inform someone about their workout's effectiveness. This usable information could include any sort of fitness data such as calories burned, steps taken, or flights climbed. Your task is to figure out what information you want to output and how to make a model to output this information. If possible, these models should utilize machine or deep learning techniques. Once you have a model and results, you will need to present your findings in an easy-to-understand manner.
Submissions from 2023
MathWorks Fitness Tracker, Tuan Quoc Le
Minions Fitness Tracker, Mohammad Hasibur Rahman