处理加速度计数据 [英] Processing accelerometer data

问题描述

我想知道是否有一些库/算法/技术可帮助从加速度计数据（从任何智能手机中提取）中提取用户上下文（步行/站立）？

I would like to know if there are some libraries/algorithms/techniques that help to extract the user context (walking/standing) from accelerometer data (extracted from any smartphone)?

例如，我将在一定时间段内每5秒钟收集一次加速度计数据，然后识别用户环境（例如，在开始的5分钟内，用户在走路，然后用户站立一分钟，然后他继续走了3分钟。）

For example, I would collect accelerometer data every 5 seconds for a definite period of time and then identify the user context (ex. for the first 5 minutes, the user was walking, then the user was standing for a minute, and then he continued walking for another 3 minutes).

非常感谢：）

推荐答案

我不知道任何这样的库。

I don't know of any such library.

编写这样的库非常耗时。基本上，您将建立一个您希望识别的用户上下文数据库。

It is a very time consuming task to write such a library. Basically, you would build a database of "user context" that you wish to recognize.

然后，您收集数据并将其与数据库中的数据进行比较。关于比较的方法，请参见将存储方向定向到数组-并进行比较，加速度计也是如此。

Then you collect data and compare it to those in the database. As for how to compare, see Store orientation to an array - and compare, the same holds for accelerometer.

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