Below are the available bulk discount rates for each individual item when you purchase a certain amount. Motion interface is rapidly becoming a key function in many consumer electronics devices including smartphones, tablets, gaming consoles, and smart-TVs as it provides an intuitive way for consumers to interact with electronic devices by tracking motion in free space and delivering these motions as input commands. The MPU family is comprised of parts listed in the table below. The MPU devices are targeted for smartphones, tablets, 3D remote controls for Internet connected DTVs and set top boxes, and motion-based game controllers and 3D mice. The MPU is for smartphones, tablets, and wearable sensor applications. Write review.

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This product has shipping restrictions, so it might have limited shipping options or cannot be shipped to the following countries:. Added to your shopping cart. The MPU is a serious little piece of motion processing tech! This skill defines how difficult the soldering is on a particular product.

It might be a couple simple solder joints, or require special reflow tools. See all skill levels. If a board needs code or communicates somehow, you're going to need to know how to program or interface with it. The programming skill is all about communication and code. Skill Level: Competent - The toolchain for programming is a bit more complex and will examples may not be explicitly provided for you.

You will be required to have a fundamental knowledge of programming and be required to provide your own code. You may need to modify existing libraries or code to work with your specific hardware. If it requires power, you need to know how much, what all the pins do, and how to hook it up.

You may need to reference datasheets, schematics, and know the ins and outs of electronics. Skill Level: Competent - You will be required to reference a datasheet or schematic to know how to use a component.

Your knowledge of a datasheet will only require basic features like power requirements, pinouts, or communications type. Also, you may need a power supply that? We welcome your comments and suggestions below. However, if you are looking for solutions to technical questions please see our Technical Assistance page. Hi everyone, Do you konw where I can find the capactors needed by the acceleometer?

Thanks for the anwser. I really like the fact that you include a photo with X and Y scales for most of your products, but lately it seems like a number of products this one included have been posted without.

Can we talk you into making that a standard feature for all new products? Yes, that was a great feature. I could see how much room the thing would take on a board without having to read through the whole datasheet. I really, really wish InvenSense was more forthcoming with documentation. Jeff, I'm sure that if we would have an email address with nintendo.

The truth so far with this sensor is that it's really badly documented. Product specification it's really just useful to design a PCB. No publicly available register or DMP documentations are currently available. So far, I've been quite disappointed by the sensor. Awesome on paper but without good docs available to anyone.. I still hesitate to post that particular PDF because it says "proprietary" on it though.

Despite repeatedly asking them why they are so secretive with information that would only boost interest and sales, I still have no real answers. The hobbyist community would think much more highly of them even if all they did was give out the docs without any promise of support. We're fine with figuring stuff out on our own. The whole "no public info at all" thing is really annoying. Incidentally, on the linked i2cdevlib.

The I2C analyzer results combined with the released InvenSense developer code has provided all the DMP structure info in place, which is not insignificant. The only missing piece is how to compile code for the DMP memory banks. Directly programming the captured dump from the logic analyzer does provide working quaternion output at this time, at least. Are you able to use the 9DOM sensor fusion internal algorithm?

Are you able to setup the chip to fuse data from a 3rd party magnetometer of your choice? I don't know how you value your time but spending hours reverse enginering a device I paid for looks like a big no sense to me.

This is true. They could be way, way better about this than they are. I'm hoping we'll eventually be able to beat them at their own game if they don't start being more helpful though. Hey Guys, I shot Invensense an e-mail letting them know about some of your frustrations, since I wanted to use this chip myself, and the issues you were having concerned me.

The response was good and it seems like they may just be a bit slow to provide documentation, but it doesn't look like they're purposefully witholding anything from the hobby community.

And more specifically they do seem to care, so even if they are bad at providing documentation, maybe they will be receptive to questions on their developer portal? Here's what they said: Hi Taylor,. Thank you for bringing this to our attention. As announced, MPUX0 is now in full production and the Register Map will be finalized and post on the website by the end of this week. I hope this will reduce the hassle and frustration.

We have a lot of students, professionals, researchers, etc that are registered and have access to a discussion forum, support center also live web seminars, etc. Please see below the link:. I will pass all of these to the department in charge. Let me know if I can be of any help and thank you again for your feedback. By the way, Sparkfun is one of our oldest customer and it is a pleasure working with them.

This is good news, if they follow through as promised. The Developer's Corner area is definitely helpful, but there are a remarkable number of posts where someone asks a very good question, and then one of the InvenSense employee users posts a "We have responded to you in an email" message. Kind of defeats the purpose of the forums. Even so, I'm glad to see them promising to release the register map. I guess I'm a little late the this party. I think you know where I stand on whether or not it's worth the effort.

We'll get there. Hey Fabio, while I'm sure Nintendo, LG, etc are getting much better support than we are, I really don't think that Invensense has a working 9-axis solution using any magnetometer other than the AK Why they chose to develop the one solution that they have using that chip, I can't fathom, though it may have had to do with that being the magnetometer in the iPhone 4.

I share all of your complaints, am deeply frustrated, and have sunk dozens of hours into this, but there simply isn't anything comparable from anyone else. Invensense does have a 9-axis, so I am sure they have been working on it for some time. So the motion fusion processor functionality is proprietary then? That baggage sure makes the chip a lot less attractive.

Nonetheless, thanks for the reverse engineering efforts! It's back up as of Nov. Hopefully it will stay that way. It doesn't have DMP info, so I'm still trying to figure that part out by hand, but it's a big step forward for them to finally release this. SparkFun guys, feel free to add the link to the product description! Here's an Arduino sketch to get precomputed quaternions out of the MPU I still haven't gotten calibration saving and loading working, so it still drifts for a bit, but stabilizes if you leave the sensor in a no-motion state for a little bit.

Jeff Rowberg's i2cdevlib is by far the best way to configure the chip and get raw data at the moment. With his code, at least you've got a nice 6-axis solution in a tiny footprint, and there's a lot to be said for that. I don't like how Invensense is handling things any more than the next guy, but I think that until a developer-friendly competitor releases some comparable silicon, this is the best inertial sensor you can buy. I see a lot of frustration here!

Why not use the iNemo solution from ST micro? Then you can have real source code running on a real processor. Better company, better support, better documentation, and a better product. Still waiting on info and documentation about WHY this works, but I just finished a DMP example with lots of comments and debug output built around the I2Cdevlib class library and based heavily on the procedural structure of Noah's code. It really does use the DMP though, no doubt about it. I'm sure the example does a lot more than it needs to, but it does get the job done.

It looks to me like I can directly sub in this guy instead and get the extra accelerometer sensing on each axis too with some additional code.


InvenSense MPU-6050 6-Axis (Gyroscope + Accelerometer) Sensor IC



3-Axis Gyro/Accelerometer IC - MPU-6050




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