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Motion Detection and Sound Effect Game for Daily Jogging

  • Yang Kyu LimEmail author
  • Eun Ju Lee
  • Hyun Chun Jung
  • Seong Kuk Park
  • Jin Wan Park
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 618)

Abstract

The benefits of daily jogging are already proved by many researchers. But, it is challenging to get people to keep working out. We made a motion detection and sound effect based game -Escape Runner: Junk Buster- to make more fun and interesting daily jogging. The game will add fun into exercise, helping the user to lose body fat and maintain good health. Because Escape Runner provides auditory information rather than visual information, it reduces the risk of accidents caused by inattention. The level of intensity is determined based on the individual’s BMI (Body Mass Index), calculated using one’s height and weight, and the intensity of the exercise increases appropriately as the user proceeds through the stages, while the user’s fitness also gradually improves. The sound of junk food monsters attacking from every side makes the user feel as if they are in the virtual gaming space, which in turn increases absorption in the game and makes the exercise more effective. And the sound of junk foods comically rushing to provide entertainment, which even small children can experience. Although it is not visual, one can experience thrilling by dodging the junk foods rushing in through sound. The user will face increasing levels of difficulty according to the 8 week jogging program. The user will soon find himself in a much healthier shape. The final score can be uploaded online to share with friends. The user can compete with friends to see who has the highest score. Goal of Escape Runner is to complete all the courses of the 8-Week Beginner’s Program. This method was proven by many other research. And Escape Runner: Junk Buster has been entered a competition Game 4 Health 2015 in Utah.

Keywords

Game Jogging Smartphone Health 

References

  1. 1.
  2. 2.
    Lim, Y.K., Shim, B.K.: Shake it up: exercise intensity recognizing system. In: Stephanidis, C. (ed.) HCI 2014, Part II. CCIS, vol. 435, pp. 355–360. Springer, Heidelberg (2014)CrossRefGoogle Scholar
  3. 3.
    Escape Runner: Junk Buster. https://youtu.be/JK3vY_hYYWw. Accessed Apr 2016

Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Yang Kyu Lim
    • 1
    Email author
  • Eun Ju Lee
    • 1
  • Hyun Chun Jung
    • 1
  • Seong Kuk Park
    • 1
  • Jin Wan Park
    • 2
  1. 1.Graduate School of Advanced Imaging Science, Multimedia and FilmChung-Ang UniversitySeoulSouth Korea
  2. 2.Integrative Engineering TechnologyChung-Ang UniversitySeoulSouth Korea

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