Every step you take, I’ll be watching you
Every time you walk, your body tilts to one side and you swing a leg forward. Each tilt of the hips and shift of the legs is a step.
By counting the number of times our body tilts from side to side we can obtain the number of steps. We can then multiply the number of steps by the length of each one to figure out the overall distance walked. This is pretty much how a pedometer works.
The most important thing to do when you get your Mi Band is to fill in your information as accurately ( and honestly ) as possible: gender, height, weight and age – yes including your real weight. These details might seem minor, but will directly affect the acceleration sensor data from being accurately captured, affecting your workout tracking!
Note: your arms’ position, walking pace, posture, up or downhill angle will also affect the step count.
Mi Band uses an algorithm to accurately calculate the steps taken by the user. This algorithm consists of both hardware and software components, both of which must be present in order for the algorithm to work.
Hardware: built-in the 3-axis ( allow the system to trace any change in movement when the Mi Band is in use and produces data ), ADXL362 MEMS accelerometer. Everyone knows that it’s no easy task for the accelerometer to achieve the accuracy of a military-grade exercise sensor. In fact, having a 3-axis accelerometer is nothing unique as most high-end phones have an inbuilt g-meter except that these phones do not achieve the same accuracy as that of the Mi Band.
Software algorithm: the Huami software will capture the change in movement produced by the 3 axes and record data in real-time. After filtering the data and applying it to various algorithms and scientific formulas, the end result will be quantitative data and insights that users can easily understand, e.g. number of steps, distance walked, calories burned, and more.
Some of these pictures are selected from network, please feel free to contact us if you have any questions about them.
2017-09-11 By Sophia Windsor
2017-09-06 By Sophia Windsor
2017-09-04 By GB Blog Official
2017-07-11 By Zim Watson
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