The Design, Development and Assessment of an Accelerometer-Based Inclination Sensing Hardware and Chip Implementation
| Autor: | Chun Liang Hsu, 許鈞量 |
|---|---|
| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 Accelerometers have been broadly applied to 3C products. Because of the MEMS technology, a 3D accelerometer has the benefits of very small form factor, digital I/O interface and low power consumption. Most important is that the cost is also very low. Accelerometers also have been used in many medical care applications. For example, the inappropriate or harmful postures of people can be detected by wearable accelerometer sensors with tilting information. Most of the prior researches on accelerometer-based tilt sensing are mainly focus on calibration and error reductions. Also, sensors or inclinometers are in very large form factors and with high cost. The worst is that they are not easily to be integrated with other systems for more complicated applications. Therefore, in this research we design a accelerometer-based digital 3-axis tilting converter which is small size, low power consumption. Our study is based on the previously proposed tilting angle identification algorithm, which is a 2D-CORDIC based algorithm. With the CORDIC engine, only addition, subtraction, and shifting operations are required to perform the expected mathematic computations. In this way, hardware cost is largely reduced. For the overall system design, the core of tilting converter is wrapped up with I2C interface and SPI interface in a chip to communicate with external chips. It can help on reducing the number of I/O pins required for the chip and most importantly it is a commercial standard interface which is available on most of the micro-controller as well as digital sensing devices. We also further deploy our design on a FPGA development board to verify our hardware design. Finally, we hooked the system with a real accelerometer for a real system testing and implement the whole hardware design to a Chip. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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