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During our research, we found that the industrial products of fall detector for old people use two kinds of sensors,  accelerometers and highly sensitive barometric sensors. Our testing of the accelerometer completely understood the two kinds of data input. Normal activities of a person can cause many disturbances which will also trigger the fall detector. But when we set the sensor to be less sensitive, the whole code was backfiring. After several rounds of iteration of the algorithm, we finally derived our product that could be potentially used by elderly to stop worrying about falling down. This provides a subtle as well as effective solution at the same time.

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