accelerometer

Using the accelerometer output, how do I determine if the user (iphone mounted on waist) is walking? Looking for a good algorithm to determine if the user is walking to determine activity transitions- standing-to-walking or walking-to-standing. please help. Thank you for your time. For a previous project, I tried calculating the magnitude of the acceleration vector, and just setting a threshold of about 2g, and that worked pretty well in testing. A typical (hardware) pedometer will ignore single jolts that happen more than about a second apart, which seems like a good way to filter out

can it be determined that where a person is i.e is he walking ? is he in elevator ? or is he climbing up the stairs ? using android's accelerometer or is there any other way to calculate such in android ? Pentium10 You can use a combination of the accelerometer and the digital compass, in phones that have them, to determine a speed and direction as mentioned in this post . If all you need to do is determine if the person is walking, all you need is the accelerometer. Just process its output for foot steps. There are plenty of tutorials on the web for detecting foot steps with an accelerometer.

Is it possible to use the accelerometer to detect height? For instance, if I'm holding the phone on my hand and then detect the height after raising my arm? Thanks Assuming you mean you want to detect the height the phone was raised from its staring point, yes. The android accelerometer measures force, more info on how to use it can be found here . Keep in mind that the accelerometer isn't a perfect device, and so your results will be approximations of how much the phone was really moved. The inaccuracy of the accelerometer will be insignificant when compared to the error caused by an unstable

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. 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. Which approach would you suggest here? Walking : Do an

I'm building a web app in html5 at the moment that needs to be able to detect when the user shakes their phone and how fast they are shaking it. I've been browsing around but can't seem to find any examples of how I could implement this. I know html5 has an accelerometer that can detect the orientation of the phone, but how does it detect the speed at which the user is shaking it? Also I'm testing this on my iPhone, although ideally I would like it to work on Android devices too. Thoughts? Examples would be great too. Thanks! You can use this jQuery plugin . And you can also read this... http:

I have a quick question about the accelerometer in Android devices. Is it always on/active? Given that accelerometer is used to detect the orientation of the device, either landscape or portrait. In the official documentation ( SensorManager ) it states that sensors should be turned off to save power. But I wonder if this only applies to others sensors like magnetic field sensors, gyroscope, light sensor and so on. I need to make a case for power conservation and I don't want to make the mistake of saying that the accelerometer can at times be disabled, and instead use it for the purpose of