Development of a Teaching Material That Can Motivate Students to Learn Control Engineering and Image Processing

The purpose of this study is to develop a teaching material that can motivate students to learn control engineering and image processing. The teaching material is designed based on the ARCS (Attention, Relevance, Confidence and Satisfaction) model, which is widely used in developing teaching materials. A low cost small-scale helicopter, called "AR.Drone", is used as a control object in the teaching material. In the control process, the images captured from the AR.Drone's frontal camera are sent to a control computer via Wi-Fi. The computer, then, detects the target color from the images, and sends the control input from PID controller back to the AR.Drone to track that color. With this teaching material, students can know as much about control engineering and image processing by tuning the parameters using in PID control and image processing, and observing the responses of the AR.Drone. In order to verify the effectiveness of the proposed teaching material, we allowed first-year technical college students, who know nothing about control engineering and image processing, to take our lecture. Then, we did a questionnaire on their interests in the two techniques after the lecture. The result showed that over 80% of them realized the interest of learning these two techniques.

[1]  Gaurav S. Sukhatme,et al.  Towards vision-based safe landing for an autonomous helicopter , 2002, Robotics Auton. Syst..

[2]  Stan Sclaroff,et al.  Skin color-based video segmentation under time-varying illumination , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Koichi Hashimoto,et al.  Image-based visual PID control of a micro helicopter using a stationary camera , 2007 .

[4]  J. Keller Development and use of the ARCS model of instructional design , 1987 .

[5]  Hajime Aoyama,et al.  Development of the Indoor Mobile Robot Navigating by Vision and Magnetic Tags , 2009 .

[6]  Robert E. Mahony,et al.  Control of a quadrotor helicopter using visual feedback , 2002, Proceedings 2002 IEEE International Conference on Robotics and Automation (Cat. No.02CH37292).

[7]  R. N. Shebiah,et al.  Fruit Recognition using Color and Texture Features , 2010 .

[8]  Akira Hirose,et al.  Development of Scratch Inspection System for Cylindrical Products by Image Processing , 2010 .

[9]  Eran A. Edirisinghe,et al.  Road Sign Detection and Recognition by Using Local Energy based Shape Histogram (LESH) , 2011 .

[10]  Makoto Arai,et al.  Development and Evaluation of Sequential Control Educational Materials with Module Structure for Engineering Experiments , 2006 .

[11]  Koichi Ozaki,et al.  Development of Control Teaching Material for Mechatronics Education Based on Experience , 2010 .

[12]  Katsuaki Suzuki On the Framework of Designing and Developing "Appealing Instruction"--The ARCS Motivation Model , 1995 .

[13]  Tomio Watanabe,et al.  Method for Lip Extraction from Face Image Using HSV Color Space. , 1995 .