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The defense date of the thesis is 2010-09-06
The current date is 2019-07-19
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URN etd-0906110-002451 Statistics This thesis had been viewed 1737 times. Download 3 times. Author Bei-Fong Guan Author's Email Address No Public. Department Computer Science and Enginerring Year 2009 Semester 2 Degree Master Type of Document Master's Thesis Language zh-TW.Big5 Chinese Page Count 40 Title Design and Implementation of an Embedded Golf Training System with Dead Reckoning Technique Keyword Arduino Embedded system Golf Golf Embedded system Arduino Abstract With the development of technology, hardware has become more sophisticated.
Many electronic products have been gradually miniaturized and with lightweight
technology to increase portability of the products. Considering the hardware cost and time to market, the developers in the development period have to make a good decision for selecting a development board. Unlike the traditional golf training machine which can only display speed of the golf, this thesis presents an embedded golf training machine based on the ATmega328 chip and applying the Reckoning approach with real-time processing capability. The Arduino platform is used in the proposed system, FSR pressure sensors are used to determine the balance of the user’s body. Freescale MMA7260QT axis acceleration measurement is used to obtain the moving situation of the ball dynamically,by reading X, Y, and Z values from each axis, and applying the Reckoning (Dead Reckoning, DR) approach to predict the direction of the moving ball. Moreover, optical infrared sensor is used for calculating the speed of the ball. Using the above data obtained,by applying multi-sensor data fusion (Multi-sensor Data Fusion) technology with expert database,an embedded golf training machine can be implemented to provide users more accurate information to correct their operations of playing golf.
Advisor Committee Liang-Teh Lee - advisor
Chia-Ying Tseng - co-chair
Files Date of Defense 2010-07-28 Date of Submission 2010-09-06