dc.description.abstract | As the development of the MEMS technology comes to more normalization, many components become much tiny. And the manufacturing cost is becoming lower. Those products using MEMS become commercialized, and provide accepted prices to market.
The Linear accelerometer is also called G-Sensor. It supplies the information of accelerating change when some motion happens. The current G-Sensor products in the market are not only support 2-dimension but also support 3-dimension information. The G-Sensor becomes the one of consumer components in this trend of MEMS technology development.
But, this trend also causes discussion for those new members of consumer electronic market. What can they do? What kind of applications can be implemented? How can they cause a large scale of economy to sustain their development and production? Those same discussions also happen on the G-Sensor’s future.
The applications using G-Sensor components are working in the current market. For examples, to be a way to control the game working, to control user interface, to drive some application programs or change slides by knocking the side of a device, to detect the falling event and let HD inside the notebook has enough time to shutdown. And, G-Sensor can be implemented inside a pedometer.
Pedometer is a kind of instrument to calculate and record the number of steps which user walks. It uses the rock of body to change the position of pedometer continually when user is walking. The information of sway would be passed to the processor inside the pedometer. The processor receives the continued information and calculates the steps to be accumulated. Then, show the number on the screen of pedometer.
This paper will discuss how to implement a pedometer using G-Sensor’s function. And, discuss those differences between mechanical pedometer and G-Sensor pedometer. This paper will discuss and examine the algorithms to refine the value to close to the actual steps which user walks. Even more, the device could provide more parameters and information to user for reference. Normalize the device for different users, different bodies and different motions to get the exact number of steps, not a rough one.
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