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authortatsujinichi <[email protected]>2021-01-14 19:01:17 +0900
committertatsujinichi <[email protected]>2021-01-14 19:01:17 +0900
commit652384872807bb90dfa1501ddad01905ba9039f6 (patch)
tree3f8d3722258ee19944719261cbf8242064fc7e11 /doc/Guide.md
parentMerge pull request #53 from termhn/patch-1 (diff)
downloadrawaccel-652384872807bb90dfa1501ddad01905ba9039f6.tar.xz
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Fixed typo in example
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@@ -35,7 +35,7 @@ The above is much more clear with an example. Let's say I have
and I move my mouse to create an input of (30,40) at a poll rate of 1000 hz.
-Then our input speed is sqrt(30^2 + 40^2) = 50 counts/ms. Our accelerated sensitivity is calculated to be (1 + 0.1 \* 50) * 0.5 = 1.5 \* 0.5 = 0.75. So our output velocity is 0.75 \* 50 = 37.5. If I run the previous calculations with input speed 49.9 I get output velocity 37.40005, so our gain is about (37.5-37.40005)/(50-49.9) = 0.9995. Here is a picture of the charts in Raw Accel showing the same thing:
+Then our input speed is sqrt(30^2 + 40^2) = 50 counts/ms. Our accelerated sensitivity is calculated to be (1 + 0.01 \* 50) * 0.5 = 1.5 \* 0.5 = 0.75. So our output velocity is 0.75 \* 50 = 37.5. If I run the previous calculations with input speed 49.9 I get output velocity 37.40005, so our gain is about (37.5-37.40005)/(50-49.9) = 0.9995. Here is a picture of the charts in Raw Accel showing the same thing:
![SensVelocityGainExample](images/accel_readme_example.png)