I am biggener in android. I am trying to implement a fitness app that can keep track of the running speed and running distance in Android. How can i calculate the above mentioned things ?
In theory you could analyse windows of accelerometer data and count the number of peaks and the forces of those to determine running. Then, if the user has entered an average step distance, that could give an equation of distance.
Would be a lot easier using GPS as it provides the speed directly.
You might be interested in this library: https://github.com/mcharmas/Android-ReactiveLocation I recently added Activity Recognition, which can tell you whenever a user starts running. Might take a little while from one begins to run before the phone 'knows' that as being the activity, though.
Related
I've been doing a bit of research on a problem we are trying to solve. I think this is the best approach but please add in your opinions
We are trying to calculate reaction times in a real world driving scenario and would like to use a mobile phone as the data collection device. What we are trying to accomplish is how much acceleration and more importantly deceleration a driver exerts when exposed to certain prompts.
I found this paper that has allot of useful information Accelerometer physics
The problem is that we most likely will not have a calibration time to start at zero.. however it is assumed that the driver is starting at 0. We will use GPS positioning to locate the vehicle, tracking the time stamped location data we should calculate the time when the prompt took place then using the time stamped accelerometer data we should be able to calculate their reaction to the prompt.
This is the best way I have found to solve the problem however I'm not sure if the accelerometer data will be rendered useless because of not being able to calibrate it and also the noise seen from vibrations may be too great to use the data... Has anyone tried or used these types of methods before?
Interesting application.
You are missing an important point. You either have to implement the so-called sensor fusion yourself or use the sensor fusion provided on the platform you are using. Both Android and iPhone have one.
The TYPE_LINEAR_ACCELERATION (Android, SensorManager) or userAcceleration (iPhone) should be sufficient for you.
As for the linked PDF, don't try integrating the acceleration, you will get very poor results. Even though that answer is about position, the velocity will already be inaccurate. I would try the GPS instead.
I know it's very old question but since I am recently working on a similar project let me share what we did in our company. We simply used OBD-II dongle to get velocity of car. There are many API's that return information about vehicle.
PID010D returns speed of vehicle. I'm using this PID to calculate distance between points A and B since there is no PID to return Odometer :(
There are few libraries on github that you can find easily by search. This mine. This is not library but after run on your device you can see how it works.
I am writing an app that needs to be able to measure speeds and I am using Google location services for Android to get speeds. It works fine up to around 300KPH and then the speed simply comes back as 0. I tested this by using the app on a recent flight I was on.
Does anyone have any idea if there is some kind of limit in place?
Well I ended up creating my own speedometer using a handler that calculates the speed based on distance traveled between calls to the function. It seems pretty accurate, now I just need to get on a plane to see if it works at high speed.
I am working on an Android app, which warns the user if he has not been moving for a fixed period of time.
I wanted to determine if the user moves by comparing the GPS positions every few seconds.
Since I have however heard that the GPS positions are very inaccurate and can vary greatly, I was wondering what the best way would be to determine if the user does not move?
I would think using the accelerometer would be a fairly good way of determining if they had been moving.
I would look at using activity recognition. You can get more information about it here:
http://developer.android.com/training/location/activity-recognition.html
I use in my app TLocationSensor on Android but I have a problem with Distance property. If I set 10 meters and I don't move OnLocationChange is fired.
What should I set and how to make it work ?
Probably the XE5's location sensor component does work - it is just the device incapable of providing Delphi accurate enough data under given circumstances.
You can take some mapping software like MapSoft Navigator and record a track for few hours. If that track would show the significant deviations, then it means the device thinks it is being sporadically moved. And it reports those movements to Delphi, which triggers the events.
See the data presumably gathered under open skies, even without reinforced concrete walls making reflections and distortions: https://gis.stackexchange.com/questions/12011
I've been doing a bit of research on a problem we are trying to solve. I think this is the best approach but please add in your opinions
We are trying to calculate reaction times in a real world driving scenario and would like to use a mobile phone as the data collection device. What we are trying to accomplish is how much acceleration and more importantly deceleration a driver exerts when exposed to certain prompts.
I found this paper that has allot of useful information Accelerometer physics
The problem is that we most likely will not have a calibration time to start at zero.. however it is assumed that the driver is starting at 0. We will use GPS positioning to locate the vehicle, tracking the time stamped location data we should calculate the time when the prompt took place then using the time stamped accelerometer data we should be able to calculate their reaction to the prompt.
This is the best way I have found to solve the problem however I'm not sure if the accelerometer data will be rendered useless because of not being able to calibrate it and also the noise seen from vibrations may be too great to use the data... Has anyone tried or used these types of methods before?
Interesting application.
You are missing an important point. You either have to implement the so-called sensor fusion yourself or use the sensor fusion provided on the platform you are using. Both Android and iPhone have one.
The TYPE_LINEAR_ACCELERATION (Android, SensorManager) or userAcceleration (iPhone) should be sufficient for you.
As for the linked PDF, don't try integrating the acceleration, you will get very poor results. Even though that answer is about position, the velocity will already be inaccurate. I would try the GPS instead.
I know it's very old question but since I am recently working on a similar project let me share what we did in our company. We simply used OBD-II dongle to get velocity of car. There are many API's that return information about vehicle.
PID010D returns speed of vehicle. I'm using this PID to calculate distance between points A and B since there is no PID to return Odometer :(
There are few libraries on github that you can find easily by search. This mine. This is not library but after run on your device you can see how it works.