Topographic Sculpture of Kansas

SchepmannFarmTopoMy friend Dan, who helped me build the light pipe prototype, recently got a CNC mill. He’s been asking me if there’s anything I want to make with it, and now I think I have an idea.

My in-laws live on a farm close to Holyrood, Kansas, damn near the geographic center of the United States. I thought it’d be cool to use the mill to carve, out of wood, a topographic representation of the land around the farm. Now, this being Kansas, there isn’t much change in elevation, but there are some pretty streams and enough variation, I think, to be interesting if we tweak the scale a bit.

Inspiration for this project came from jewelry designer, Erik Maes, who makes very cool topographic belt buckles.

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Printed Electronics 2009: Wearable Sensors

I’m at the 2009 Printed Electronics conference in San Jose today and tomorrow. Below are highlights from a talk about wearable sensors by Professor Joe Paradiso of MIT.

(Note: Paradiso gave the disclaimer that his projects are less about printed electronics and more about the cool things that can be done once electronics become more practical to print. Thus, these examples consist of rigid circuit boards.)

Sensor Network as Skin: It’s a bit clunky in this incarnation, but the idea is that a collection of multisensor nodes sense the environment and communicate with each other. If this can be shrunk down, it might make a good sort of artificial skin for robots.

SportSemble: This project puts sensors on the Boston Red Sox to track subtle movements as well as fast, dramatic movements. The technical challenge is to monitor such a large range of movements well–most sensors don’t give the range and precision at both ends of the movement spectrum. So the researchers kluged together two types of sensors. They hope the sensor pack can offer some insight into the way that athletes’ movements and body positions change over the course of a game.

Spinner: What if software could automatically edit video to fit a narrative structure? It would be useful for lifecasting, for sure. The project, called Spinner, uses video from cameras installed at the Media Lab and data from people who wear smart badges to keep track their activity and location. The researchers use software to pick out certain characteristics in the video and string it together. For instance, you could instruct the software to put together clips that show the Media Lab with bright light and low activity, clips of Sue at the Media Lab during low activity, and during high activity, and finally, clips of the Media Lab with darkness and low activity. As a bonus, the software matches a soundtrack to the video.

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Recent Stories: Cyborgs, Solar, and Data Storage

This post is a roundup of the stories I’ve written over the past few weeks.

Without doing it consciously, I’ve totally carved out a cyborg beat. The most recent story is about a neural implant that is wirelessly controlled and wirelessly powered. The researchers, led by Brian Otis at the University of Washington, hope to implant this in humans someday, but have so far just demonstrated the sensor on a moth.

Another cool human-computer interface story I did was about a Microsoft Research project that uses muscle electrodes to interact with a computer. The main researcher, Desney Tan, is really trying to make muscle sensors cheap and easy to use so that the group’s prototype can eventually turn into something commercial. An awesome video of the technology, where a person plays Guitar Hero without the guitar, is here .

For The Economist, I wrote an update on a project by Babak Parviz at the University of Washington. Parviz is building a bionic eye by adding electro-optic devices to a contact lens.

Side note: all of the above researchers know each other and are either currently collaborating or have worked together on projects in the past.

I’ve also written one story about solar energy, a more efficient photovoltaic that uses nanopatterns to trap light better. The really interesting thing about this research is the physics behind it. These nanopatterns convert three-dimensional waves of light into two-dimensional waves that are confined to the surface of a metal. This process makes sunlight easier to turn into usable energy. The key to this 3D to 2D conversion is a quasiparticle called a surface plasmon. I have a little crush on plasmons (ever since grad school!), so I’ll be writing more about these in the future. Stay tuned!

Another piece I wrote was about researchers at Rice who use graphite–the same stuff that’s in pencils–to make a new type of chip-based memory that can hold more data than flash.

I covered research from NIST in which scientists developed a technique to scale up quantum computers, hopefully making them more practical.

And finally, I wrote about Intel’s announcement of an optical cable that the company would like to eventually replace the slow and heavy copper wires that people use to connect their computers, televisions, peripherals, etc. together. (For some background and more info on this topic, check out a post I wrote a while back.)

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Superconductor Levitation

This one’s from the e-vaults. I spent my first year of grad school making up undergraduate physics classes because I came in with a chemistry degree. One of those requirements was a laboratory class where we did things like measure the resistance of materials as a function of temperature. It wasn’t as dull as most of the labs because we got to play around with a Yttrium-Barium-Copper (YBC) superconductor. At liquid nitrogen temperatures-−321 °F–YBC was able to levitate a magnet. Fun! Below are two little videos of superconductor levitation:

The magnet spins above the superconductor, wrapped in masking tape and sitting in a well of liquid nitrogen. The wires are for measuring resistance and reading the temperature of the superconductor.

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