A COMPARISON BETWEEN TWO IMAGE DETECTION ALGORITHMS ON NECK ANGLE DETECTION SYSTEM AND PROLONGED USAGE CLASSIFICATION CONCEPT
Worawat Lawanont1, Pornchai Mongkolnam2, Chakarida Nukoolkit2, Masahiro Inoue1 1Graduate 2School
School of Engineering and Science, Shibaura Institute of Technology
of Information Technology, King Mongkut’s University of Technology Thonburi
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EXTENDED ABSTRACT Nowadays, many syndromes have occurred due to the unhealthy usage of technologies. As the popularity of smartphone usage has grown dramatically in the recent years, the bad consequences have also come with it. Many syndromes have been pointed out as the consequences from using smartphone. Regarding the text neck syndrome, in our previous work we proposed a solution to accurately detect a neck angle while using a smartphone. In this paper, to improve the calculation, we propose a comparison between two image processing algorithms which involve in calculating neck angle while using a smartphone. The two image detection algorithms are Haar and LBP (Local Binary Patterns) algorithm. These two algorithms are widely used in image detection applications which adopted the OpenCV library. However, both of them have their own advantages and disadvantages. The main difference between the two algorithms is that Haar use float for the calculation, while LBP uses integer. The comparison would show the differences of two algorithms in terms of accuracy and calculation speed. Both Haar and LBP classifier are trained with 900 positive images and 2842 negative images. Positive images are images those contain object of interest, in our case are face, eyes, and mouth. Negative images are images those do not contain any object of interest. This experiment will reveal an accurate and high performance method of the image detection technique for our system. Moreover, to propose a more effective neck angle detection system, this paper also proposes a classification of unhealthy neck angle which also concern of the duration of smartphone usage for each user. This work will encourage user to have a more healthy neck angle while using a smartphone. Lastly, this work will also be a foundation toward a more complete system regarding unhealthy smartphone usage behaviors.
