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IMU tag v1.0 - Bluetooth / SD-card data logger

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Uploaded by on Jun 9, 2010

The IMU tag v1.0 is a small, low powered, inertial/magnetic data logger capable of logging sensor data to an on-board micro SD card and streaming sensor data directly to a computer in real-time via Bluetooth. The device was originally developed to enable the ambulatory monitoring of a patient's motion for a medical research project.

The IMU tag v1.0 has been discontinued. Check out our latest generation IMU/AHRS device, the x-IMU:
http://www.x-io.co.uk/node/9

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Uploader Comments (SebMadgwickResearch)

  • Could you design the PCB logger for us with both Bluetooth and SD card?

  • Yes, contact me via x-io.co.uk and we can speak further.

  • I am looking for a device to store data from our keypad ignition system via USB to an SD card or to wireless bluetooth export to a laptop. Could your device be modified for this?

  • The IMU tag already stores data from the 5 auxiliary inputs. However if you do not need the IMU sensors, this product would be overkill for your application.

  • Your code needs a bit of work.

    Your filtering is not bad, but if somebody plans to integrate it in a robotic project which needs full speed and precision... well it is very precise but I think that it "thinks" a lot and takes its time to respond. It's a bit delayed. But well, it's still very nice. It should be a bit more "woken" and real-time...

    Keep the great job.

  • What work does my code need?

    As I have said, speed is not a problem. The potential algorithm update rate is tens of kHz on a just PIC. Any delays you observe in the video will be due to the graphics rendering.

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  • Wow this sensors work really smooth!

  • Very Impressive.

  • hello, does the board have a microprocessor, if such, is it a dsPIC?, if so, which dsPIC is it?? thx. considering ti buy it.

  • @SebMadgwickResearch A! OK!

    Then, nice work.

    It must then be a graphics problem.

  • See the video description for purchasing details.

    It is hardware that limits precision not the "code" or algorithm. I am always thinking about improving my work but I don't think the algorithm (I now use a hybrid of mine and that of Mayhony et al) could get much better; especially concerning speed.

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