加速度计 - 运动模式识别（iphone） [英] accelerometer - Movement pattern recognition (iphone)

问题描述

我必须找到解决问题的最佳方法，以便尝试识别身体动作 - 将iPhone放在口袋里 - 比如哇哇，停下来，左/右转，坐着。

I have to find the best approach for tackling a problem for trying to recognize physical movements - with an iPhone in a pocket - like waling, stopping, turning left/right, sitting.

我正在考虑只是试探性地找到与每个动作相对应的数据，然后根据这个数据（带有一个阈值）检查传入的值，看看发生了什么。
当然，这是一个非常粗略的方法，所以也许使用支持向量机
方法，但这似乎太复杂了我必须开发的时间。

I was thinking on just heuristically find the data corresponding to each action, then to check the incoming values against this data (with a threshold) and see what's happening. That's a very rough approach, of course, so maybe using something like the Support Vector Machine methods, but this seems too complicated for the amount of time I have to develop this.

你会在这里建议哪种方法？

Which approach would you suggest here?

推荐答案

行走：对重力方向信号做一个fft。测量其以不同速度行走的频率响应，然后设置一个简单的阈值。

Walking: Do an fft on the gravity direction signal. Measure its frequency response for walking at different speeds and then set a simple threshold.

停止：如果平均功率即信号中的总能量在最后几秒内降至某个阈值以下，您可以说用户已停止。

Stopping: if the average power i.e. total energy in the signal over the last few seconds drops below a certain threshold then you can say the user has stopped.

左转，右侧：使用重力矢量和陀螺仪旋转速度矢量，以确定用户是顺时针还是逆时针旋转

Turning left,right: Use the gravity vector and the gyroscopes rotation speed vector to determine whether the user is rotating clockwise or counterclockwise

坐着：这将很难确定，但如果你是幸运的是，SVM会找到合适的模式。

Sitting: This will be very hard to determine but if youre lucky the SVM will find the right pattern.

上面的每一项都可以给予加权，然后你必须找到一种获得训练数据的好方法来训练你的SVM。可能将来自手机的信号流式传输到网络服务器，同时手动记录用户的动作。

Each of the above can be given a weighting and then you will have to find a good way to obtain training data to train your SVM. Maybe stream the signals from the phone to a webserver and simultaneously record the users motions by hand.

你最好的起点是苹果示例代码：CoreMotionTeapot

Your best starting point is Apples Sample code: CoreMotionTeapot

或者你可以分析GPS信号。这将为您提供一种非常好的方法来确定用户更大规模的动作，如步行/移动或更改航向等。

Alternatively you could analyze the GPS signal. This will give you a very good way to determine the users larger scale motion like walking/moving or changing heading etc.

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