Hi Katja
amazing! This is exactly what I was looking for.
I thought that Android for sure will make this kind of data available as
some sort of meta-sensor API, but apparently not.
Thank you so much
Max
On 2017년 07월 27일 09:17, katja wrote:
Hi Max,
To emulate 3D orientation from gyro, accelerometer and compass data is
most efficiently done using a 'quaternion filter'. Sebastian Madgwick
has popularized the method, see
http://x-io.co.uk/open-source-imu-and-ahrs-algorithms/. I use
Madgwicks implementation of Mahoney's method, for Arduino based
'electronic hands', and found that Mahoney's algorithm for IMU sensors
(gyro and accelerometer only) worked much better than Madgwick's own
algorithm. But I had to make a few modifications, based on Kris
Winer's work (https://github.com/kriswiner).
Katja
On Tue, Jul 25, 2017 at 11:13 PM, Max <abonneme...@revolwear.com> wrote:
Made a quick little video
https://vimeo.com/226958567
the described issue is still there.
Background on the problem:
https://stackoverflow.com/questions/27106607/get-rotation-and-display-in-degrees
https://stackoverflow.com/questions/15315129/convert-magnetic-field-x-y-z-values-from-device-into-global-reference-frame#15317814
On 2017년 07월 08일 23:16, Max wrote:
I've played around with the Android app Sensors2OSC [1] and was trying to
just map the senors to a virtual model of a phone.
I was able to get the axis individually mostly behaving correctly, but as
soon as the phone moves around in more than one way, it is doing weird
things. I started to wonder if it is only my phone though.
At https://github.com/mxa/GemVR the patch ReceiveSensors2OSC.pd has
everything ready to map the senor data to the Gem model.
I'd be curious to see if it is possible to let it behave correctly.
[1] https://sensors2.org/osc/
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