Gaming’s Newest Accessory: Headbands

These aren’t terrorists, they’re electrical engineering students. For their final project they developed a headband and rifle input system for the NES. The controllers send data to a laptop which then maps out the inputs to NES controller commands and sends them to an original NES console, no emulation here.

The controllers in the headband and rifle are Firefly sensor network nodes. Originally, [Kevin] and [Evan] tried using accelerometers for motion information but found the data do be unreliable. After an upgrade to gyroscope modules the interface is much more responsive, as seen about 3:50 into the video after the break. We like seeing motion controller hacks and we appreciate the choice of a classic system (and lesser known game title). This really makes it a whole different game.

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AeroQuad – Build Your Own Quadcopter

It hurts us to look at this quadcopter, agonizingly so when we watch the video after the break. That’s because we feel the unstoppable compulsion to build one. This four-rotor helicopter has a lot to be proud of; it features Gyro stabilization, Xbee remote control for very long distance operation, and computer interface for data graphing and calibration.

We like the quadcopter that we came across at CES but building one of our own is more fun than buying it ready-made. The pain we’re feeling is mostly in our pocketbook. To help ease the agony we scoured the parts list and the assembly instructions in order to get an estimate of what this might cost. We’re looking at around $415 plus shipping, not including transmitter and receiver for controlling it.  Yep, that’s a sharp stabbing pain but we’re not sure we can just let it go.

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Well Engineered Diy Segway

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[Mark] wanted a Segway but why buy something if you can have more fun building it? His end product is an amazing homemade version of the self-balancing transportation package. We’ve seen several projects that include auto-balance, but this one is large enough to ride on and has a bit of an advantage in the design. The motors, batteries, and other components are mounted below the wheel hubs and are weight balanced. This means that the device wants to find balance naturally, even when the electronics are switched off.

The frame was modeled in CAD and then welded together. For propulsion [Mark] has installed two 750 Watt motors which will use sprockets and chains to turn the wheels. The machine balances based on data from both a gyroscope and an accelerometer, with the entire packaged tied together using an Arduino.

[Mark’s] build log is well laid out and details each part of the build with a different post. His two most recent entries include video of the unit balancing and of him riding the 95% completed project. A big thanks to [Mark] for taking the time to document this so that we can share in the excitement of a well-executed project.

Multi-camera Rig Makes Trees Say Cheese

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[Nick Nichols] set out to take a photograph of a full redwood tree. Here’s the catch, these redwoods are over 300 feet tall and they’re not just standing in the middle of a vast desert. If the photo is taken from a distance, you will only capture the top part of these majestic beauties. How can you take the shot from close up? Build a custom rig to take multiple shots and stitch them together for a composite photo.

[Nichols] built the rig to hold three cameras focused to the left, middle, and right of the tree. The frame includes a gyroscope to keep the cameras steady. By lowering the cameras from the top to the bottom of the redwood they were able to capture 84 pictures to assemble the final shot. The result is featured in the October edition of National Geographic magazine. We’ve included the final picture and embedded a video of the rig in action after the break. Continue reading “Multi-camera Rig Makes Trees Say Cheese”

Segway And Input Filtering

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[Kerry] is building a segway type vehicle for a senior project. Though it doesn’t appear to be done yet, there is some good work finished. As with any balancing bot, it relies heavily on input from a gyroscope, and at least in this case, an accelerometer. That data can be very messy. The sensitivity of the sensor means that people often end up with vibrating or drifting in their projects. [Kerry] has put some work into finding a method of smoothing that results in fast, accurate, but smooth reaction. You can see a video of some comparisons between methods after the break.

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