Potential Overwork Exposure System

1. Potential Overwork Exposure System Presented: Deng-Sing Yang Adviser: Chih-Kuo Liang Date:2012.03.14

2. 3 4 1 5 2 References Introduction Results Future works Materials & Methods OUTLINE

3. INTRODUCTION • Fatigue is usually a scenario seen during continuous work or driving • Reduces a person’s attention and concentration • Loss of ability to sustain a required performance

4. INTRODUCTION • Another aspect that needs to be noticed is that children and teenagers alike spend quite a number of hours playing video games • Children may keep on going over their limit that could eventually post significant health issues. • Symptoms include mood shifts, sleep dysregulation, inability to concentrate, appetite lost and among others www.themegallery.com

5. INTRODUCTION • In recent years, computer games has been a part of a college student’s life. In fact many consider it equally important with their textbooks and exams. • Males love to play PC games more than female

6. Cases of Sudden Deaths in Gaming 02/03/2012Male, 23 after 23 hours 09/28/2011Female, after 6 hours 07/28/2011Boy after 3 hours 07/31/2010Male, 50 internet café 12/10/2008Male, 39 internet café Suddenly died playing an online game while maintaining playing posture 05/22/2008Male, 43 after 20 hrs

7. New trends in fatigue monitoring • SmartCap monitors workers' fatigue levels by reading their brain waves • It measures employee fatigue in real time by monitoring its wearer's brain waves. From:《gizmag》January 30, 2012 • 3G video driver  fatigue detection • Video supervision: Driver reminder via face location, eye location and tracking of fatigue judgment. From:《 Electronic Science and Technology 》 November ,2011

8. New trends in fatigue monitoring How did we choose this game? NBA2k12 is a competitive sports game that makes a perfect combination with the NBA culture. The game requires a lot of attention and cognitive analysis something in comparison to a person working

9. Why use a single channel wireless EEG? Three main reasons for using wireless EEG: • Most promising technology • Convenience • Easy integration to software • Ease of integration for future commercial purposes • Single channel EEG on the forehead with data transmitted wirelessly via Bluetooth while keeping track of the fatigue condition of the player.

10. MATERIALS AND METHODOLOGY www.themegallery.com

11. SUBJECTS • 2 Male, Average age 27.5 years old • Recording: • 5 minutes baseline • 1 game of 12 minutes for each period • Approximately 1 hour or more of data collection www.themegallery.com

12. Research on fatigue detection • Physiological signals used to detect fatigue • EEG, EOG, ECG and sEMG • EOG being the most mature while EEG the most promising method of detecting fatigue.

13. Feature extraction methods • Software used: • LabVIEW • VISA for Bluetooth interconnection • Pt. by pt. 5th order Butterworth filter • Harmonic frequencies: Delta, Theta, Alpha1, Alpha2, Beta1 & Beta2 • Auto power spectrum of the frequency bands

14. Analysis methods • (Alpha + Theta) / Beta ratio as a figure to measure fatigue. • Three kinds of EEG energy ratios (index ratio) ： • (α+θ)/β: (fatigue and drowsiness level) • θ/α: Relaxation level (relaxation level) • β/α: Awakening of standards (alertness level) www.themegallery.com

15. How did we determine the fatigue levels? • Fatigue assessment test platform in accordance with the EEG signal captured by the EEG amplifier, frequency-domain operations, according to the analysis rules of • Possible outcomes:  • Normal • Mild • Moderate • Severe 

16. System architecture • Therefore, the aim of this system is to study how determine the state of fatigue during gaming through measurement, recording and analyzing the players’ EEG. • The algorithm to measure and determine fatigue has gone through several tests and evaluation thus providing an improved method of measuring fatigue. • Results are then displayed through a user friendly and informative GUI.

17. Results and Discussion Data results GUI

18. RESULTS • Player 1(Baseline: 2.77) www.themegallery.com

19. RESULTS • Player 2 (Baseline: 3.45 ) www.themegallery.com

20. FUTURE WORKS • The current system relies on a computer and in the future we are looking into using Android- based mobile phone to make it more practical. www.themegallery.com

21. REFERENCES [1] Y. Shigihara and M. Tanaka, “Relationship between fatigue and photosensitivity,” Behavioral Medicine, vol. 36, pp. 109-112, 2010. [2] S. Otmani, T. Pebayle, J. Roge, and A. Muzet, “Effect of driving duration and partial sleep deprivation on subsequent alertness and performance of cars drivers,” Physiology and Behavior, vol. 84, pp. 715-724, 2005. [3] J. Solodar, “Seizures triggered by video games: underestimated and undiagnosed,” taken from http://www.epilepsy.com/pdfs/journal/EIS-Issue3-2.pdf, accessed on December 18, 2011. [4] Y. Dong, Z. Hu, K. Uchimura, and N. Murayama, “Driver inattention monitoring system for intelligent vehicles: a review,” IEEE Trans on Intelligent Transportations Systems, vol. 12, no. 2, pp. 596-614, 2011. [5] B. T. Jap, S. Lal, P. Fischer, and E. Bekiaris, “Using EEG spectral components to assess algorithms for detecting fatigue,” Expert Systems with Applications, vol. 36, pp. 2352-2359, 2009. [6] H. J. Eoh, M. K. Chung, and S.-H. Kim, “Electroencephalographic study of drowsiness in simulated driving with sleep deprivation,” Industrial Ergonomics, vol. 35, pp. 307-320, 2005. [7] S. K. L. Lal, and A. Craig, “A critical review of the psychophysiology of driver fatigue,” Biological Psychology, vol. 55, pp. 173-194, 2001. www.themegallery.com

22. Thank You !