Normalizing sensor data

Hi @all ,

I just tried training a model for Punch/Flex gesture and was not able to understand why are we adding 4 and dividing by 8 similarly for 2000 and 4000 for gx values:

tensor += [
(df['aX'][index] + 4) / 8,
(df['aY'][index] + 4) / 8,
(df['aZ'][index] + 4) / 8,
(df['gX'][index] + 2000) / 4000,
(df['gY'][index] + 2000) / 4000,
(df['gZ'][index] + 2000) / 4000
]

If I capture my own custom data will these value change if yes then how we can feed in the right values for normalising the input tensor

Thanks

从 issue 中显示的张量构建表达式开始，追踪传感器范围和归一化常量的定义位置。将这些假设与自定义输入的数据收集路径进行比较，然后记录应如何选择这些常量，以及在解释完整时预期会得到哪些归一化值。

由索引模型根据 Issue 内容生成。