Up Your Game With DIY Headset Motion Tracking

While there’s been a lot of advancements in VR gaming over the last couple of years, plenty of folks are still happy enough to just stare at their monitor. But that’s not to say some of those fancy head-tracking tricks wouldn’t be a welcome addition to their repertoire. For players who are literally looking to get their head in the game, [Adrian Schwizgebel] has created qeMotion.

The idea here is simple enough: attach a motion sensor to a standard gaming headset (here a MPU-6050 IMU), and use the data from it to virtually “press” keys through USB HID emulation. Many first person shooter games offer the ability to lean left or right by pressing Q or E respectively, so all [Adrian] had to do was map the appropriate accelerometer readings to those keys for it to work seamlessly with popular titles such as Tom Clancy’s Rainbow Six Siege and Insurgency.

The concept might be basic, but the execution is anything but. Rather than just duct taping an Arduino to his headset, [Adrian] designed a very slick 3D printed enclosure for the electronics that sits on his desk. While they haven’t all been implemented yet, the devices features indicator lights and buttons to switch through various modes. The sensor on the headset has similarly been encased in a very professional looking 3D printed box, complete with a nice braided cable to link it to the desk unit.

It’s been awhile since we’ve seen a head tracking project, and most of those utilized something like the Wii Remote. Adding sensors to a person’s head normally wouldn’t be an ideal situation, but if you’re going to be wearing the headset anyway to listen to the game and chat, it’s not really a problem. If your hair is too nice for the qeMotion, you could always try doing something similar with computer vision.

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Speed Up Filming With This Jawdropping 8-Axis Camera Crane

These days, it can feel like a project doesn’t exist unless you’ve posted a video on the Internet about it. [mingul] was in the process of producing his own videos, but found having to repeatedly move and set up the camera tiring. Naturally, a completely overkill eight-axis motion control robot was the solution. Video embedded below the break.

The scale of the build is something to behold. With 4.5 m travel on the X-axis, 6.5 m on the Y, and 2.1 m on the Z, it’s capable of traversing the full length of [mingul]’s workshop. Tilt, pan, and roll axes all feature 540 degrees of rotation, and there’s motors to control zoom and focus on the camera, too. Through software like Dragonframe, it’s possible to program complicated camera moves, and techniques like the classic dolly zoom are a cinch with such a versatile rig. It’s also possible to control the movement in real-time with a wireless Xbox controller.

[mingul] reports the build took a full three months of CNC machining, 3D printing and assembly. It’s a big step above a simple motorized camera slider, but we all have to start somewhere.

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Smoothieboard Gets An Ambitious Update For V2

If you’ve been reading Hackaday for awhile, there’s an excellent chance you’ve seen a project or two powered by the Smoothieboard. The open source controller took Kickstarter by storm in 2013, promising to be the last word in CNC thanks to its powerful 32-bit ARM processor. Since then we’ve seen it put to use in not only the obvious applications like 3D printers and laser cutters, but also for robotic arms and pick-and-place machines. If it moves, there’s a good chance you can control it with the Smoothieboard.

But after six years on the market, the team behind this motion control powerhouse has decided it’s time to freshen things up. The Kickstarter for the Smoothieboard v2 has recently gone live and, perhaps unsurprisingly, already blown past its funding goal. Rather than simply delivering an upgraded Smoothieboard, the team has also put together a couple “spin-offs” targeting different use cases. If Smoothie v1 was King of CNC boards, then v2 is aiming to be the Royal Family.

Smoothieboard v2-Prime with breakouts

The direct successor to the original board is called v2-Prime, and it’s everything you’d expect in an update like this. Faster processor, more RAM, more flash, and improved stepper drivers. There’s also available GPIO expansion ports to connect various breakout boards, and even a header for you to plug in a Raspberry Pi. If you’re looking to upgrade your existing Smoothieboard machines to the latest and greatest, the Prime is probably what you’re after.

Then there’s the v2-Mini, designed to be as inexpensive as possible while still delivering on the Smoothieboard experience. The Mini has the same basic hardware specs as the Prime, but uses lower-end stepper drivers and deletes some of the protection features found on the more expensive model. For a basic 3D printer or laser cutter, the Mini and its projected $80 price point will be a very compelling option.

In the other extreme we have the v2-Pro, which is intended to be an experimenter’s dream come true. It features more stepper drivers, expansion ports, and even an integrated FPGA. Realistically, this board probably won’t be nearly as popular as the other two versions, but the fact that they’ve even produced it shows how committed the team is to pushing the envelope of open source motion control.

Our coverage of the original Smoothieboard campaign back in 2013 saw some very strong community response, with comments ranging from excited to dismissive. Six years later, we think the team behind the Smoothieboard has earned a position of respect among hackers, and we’re very excited to see where this next generation of hardware leads.

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The Complete Beginner’s Guide To Building A CNC Machine

Despite appearances, [This Old Tony]’s latest series has little to do with CNC-ifying an Etch A Sketch. Although he certainly achieves that, more or less, automating the classic toy is just the hook for a thorough lesson in CNC machine building starting with the basics.

Fair warning: we said basics, and we mean it. [Old Tony]’s intended audience is those who haven’t made the leap into a CNC build yet and need the big picture. Part one concentrates on the hardware involved – the steppers, drivers, and controller. He starts with one of those all-in-one eBay packages, although he did upgrade the motion controller to a Mach4 compatible board; still, the lessons should apply to most hardware.

By the end of part one, the Etch A Sketch is connected to two of the steppers and everything is wired up and ready to go for part two, the first part of which is all about inputs and outputs. Again, this is basic stuff, like how relays work and why you might need to use them. But that’s the kind of stuff that can baffle beginners and turn them off to the hobby, so kudos to [Old Tony] for the overview. The bulk of the second part is about configuring Mach4 Hobby, with a ton of detail and some great tips and tricks for getting a machine ready to break some end mills.

For someone looking to get into a CNC build, [Old Tony]’s hard-won CNC experience really fills in the gaps left by other tutorials. And it looks like a third part, dealing with making all this into something more than an automated Etch A Sketch, is in the works. We’re looking forward to that.

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One-Legged Jumping Robot Shows That Control Is Everything

Robots that can jump have been seen before, but a robot that jumps all the time is a little different. Salto-1P is a one-legged jumping robot at UC Berkeley, and back in 2017 it demonstrated the ability to hop continuously with enough control to keep itself balanced. Since then it has been taught some new tricks; having moved beyond basic stability it can now jump around and upon things with an impressive degree of control.

Key to doing this is the ability to plant its single foot exactly where it wants, which allows for more complex behaviors such as hopping onto and across different objects. [Justin Yim] shows this off in the video embedded below, which demonstrates the Salto-1P bouncing around in a remarkably controlled fashion, even on non-ideal things like canted surfaces. Two small propellers allow the robot to twist in midair, but all the motive force comes from the single leg.

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Maker Faire NY: Getting Physical With Minecraft

If you’ve been hanging around Hackaday for a while, you’ve likely seen a few attempts to bridge the real world with the voxel paradise that is Minecraft. In the past, projects have connected physical switches to virtual devices in the game, or took chunks of the game’s blocky landscape and turned it into a 3D printable file. These were interesting enough endeavors, but fairly limited in their scope. They assumed you had an existing world or creation in Minecraft that you wanted to fiddle with in a more natural way, but didn’t do much for actually playing the game.

But “Physical Minecraft” presented at the 2018 World Maker Faire in New York, offered a unique way to bring players a bit closer to their cubic counterparts. Created by [Manav Gagvani], the physical interface has players use a motion detecting wand in combination with an array of miniature Minecraft blocks to build in the virtual world.

The wand even detects various gestures to activate an array of “Spells”, which are effectively automated build commands. For example, pushing the wand forward while making a twisting motion will automatically create a tunnel out of the selected block type. This not only makes building faster in the game, but encourages the player to experiment with different gestures and motions.

A Raspberry Pi 3 runs the game and uses its onboard Bluetooth to communicate with the 3D printed wand, which itself contains a MetaWear wearable sensor board. By capturing his own moves and graphing the resulting data with a spreadsheet, [Manav] was able to boil down complex gestures into an array of integer values which he plugged into his Python code. When the script sees a sequence of values it recognizes, the relevant commands get passed onto the running instance of Minecraft.

You might assume the wand itself is detecting which material block is attached to it, but that bit of magic is actually happening in the base the blocks sit on. Rather than trying to uniquely identify each block with RFID or something along those lines, [Manav] embedded an array of reed switches into the base which are triggered by the presence of the magnet hidden in each block.

These switches are connected directly to the GPIO pins of the Raspberry Pi, and make for a very easy way to determine which block has been removed and installed on the tip of the wand. Things can get tricky if the blocks are put into the wrong positions or more than one block are removed at a time, but for the most part it’s an effective way to tackle the problem without making everything overly complex.

We’ve often talked about how kid’s love for Minecraft has been used as a way of getting them involved in STEM projects, and “Physical Minecraft” was a perfect example. There was a line of young players waiting for their turn on the wand, even though what they were effectively “playing” was the digital equivalent of tossing rocks. [Manav] would hand them the wand and explain the general idea behind his interface, reminding them that the blocks in the game are large and heavy: it’s not enough to just lower the wand, it needs to be flicked with the speed and force appropriate for the hefty objects their digital avatar is moving around.

Getting kids excited about hardware, software, and performing physically demanding activities at the same time is an exceptionally difficult task. Projects like “Physical Minecraft” show there can be more to playing games than mindless button mashing, and represent something of a paradigm shift for how we handle STEM education in an increasingly digital world.

Gesture Control Without Fancy Sensors, Just Pots And Weights

[Dennis] aims to make robotic control a more intuitive affair by ditching joysticks and buttons, and using wireless gesture controls in their place. What’s curious is that there isn’t an accelerometer or gyro anywhere to be seen in his Palm Power! project.

The gesture sensing consists not of a fancy IMU, but of two potentiometers (one for each axis) with offset weights attached to the shafts. When the hand tilts, the weights turn the shafts of the pots, and the resulting readings are turned into motion commands and sent over Bluetooth. The design certainly has a what-you-see-is-what-you-get aspect to it, and as a whole it works much like an inverted, weighted joystick hanging from one’s palm.

It’s an economical way to play with the idea of motion sensing, and when it comes to prototyping, being able to test a concept while keeping costs to a minimum is a good skill to have.