Implementation of Hand-Free Head Mouse Control System

Abstract:

As computer vision technology been developing, while camera becomes standard configuration for personal computer (PC) and computer calculating speed becomes faster and faster, Computer vision have been more popular used in people daily life, people can use computer as an eye to see and recognize the real world, In this paper, we will present a novel electronic head mouse control system which is based on human facial feature. Our system firstly detect human face from the input image by using face features in YUV Color model, and then for face candidate, use reversed relationship information between U and V cluster of face feature to detect mouth position. Then in the detected mouth region, mouth lip region gray level is usually lower than other region but V level higher than others, so we can reversal mouth region gray level and use associated threshold method to pick up mouth region pixels. Relationship between mouth position and face region boundary can be used to confirm human head rotation angles correspond to camera, which can be used to control mouse movement in screen. Then throughing analysising mouth shape information, we can confirm mouth motion command for mouse. We have simulated our algorithm on windows XP system to evaluate the effect of our algorithm. The simulation result showed that our algorithm can represent a good effect for head mouse control system.

• Periodical: Applied Mechanics and Materials (Volumes 738-739)
• Pages: 999-1002
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.738-739.999
• Online since: March 2015
• Authors: Nai Zhong Zhang, Jing Wen*, Wei Li
• Keywords: Head Mouse Control System, Human Facial Feature, YUV Color Model

References

[1] M. Turk, C. Hu, R. Feris, F. Lashkari and A. Beall. Tla based face tracking. Intern. Conf. on Vision Interfacec, 2002, pp.229-235.

[2] Heejin Choi, Dong-Soo Kwon and Mun-Sang Kim, Design of Novel Haptic Mouse and Its Applications, Proceedings of 2003 IEEE.

DOI: 10.1109/iros.2003.1249207

[3] B. Moghaddam, C. Nastar and A. Pentland, Bayesian Face Recognition using Deformable Intensity Surfaces, " CVPR, 96.

DOI: 10.1109/cvpr.1996.517140

[4] A. Colmenarez, R. Lopez, and T.S. Huang, 3D Head Pose Computation from 2D Images: Templates versus Features, in ICIP (1995).

DOI: 10.1109/icip.1995.537550