MapBag: A Proprioceptive Augmentation Device
Just wanted to show everyone a new project that I’m working on.
I see the MapBag as a solution to two problems:
1) Re-experiencing the city
I find myself often getting locked into a point A to point B commute mode here in Chicago. The city is full of amazing things to experience, but I inevitably settle into the most efficient and comfortable path to and from work / school. My solution to escape A -> B travel has been to take up the Situationist tactic of Dérive. While a Dérive is a great method for rediscovering/remapping the city, it requires the absence of a deadline to be effective. Should I tell myself before wandering, “I need to be home by 10 PM” I end up constantly evaluating my current position in the grid of the city. This constant evaluation can take the magic right out of the process. The MapBag, as Dérive tool, provides a way to more intuitively experience the city.
2) Biking without distraction
Last Summer while biking to work I got doored. My bike was a little messed up, I lost some blood, but the guy who doored me was great and I’m all fixed up. However, I’m much more careful in the city now. Just like performing a Dérive on a time constraint requires constant evaluation of position inside of the City, so does biking. The MapBag allows me to navigate without any kind of visual distraction.
How it works:
The MapBag contains a small microcontroller, a GPS chipset, and a series of 8 vibration motors sewn into the bag. The microcontroller constantly evaluates the wearer’s current heading and the location of magnetic North, or the relative location of a user-defined waypoint (such as home). The microcontroller informs the wearer of compass information through the vibration motors, basically allowing you to read a compass with your body.
After using the MapBag for a few weeks, the slight pulses used to convey heading information have become second nature. Most importantly, I no longer find myself using street signs or depending on landmarks to discern my position in the city’s grid.
Construction:
The MapBag is based on the LilyPad Arduino microcontroller. The LilyPad is a washable, sewable microcontroller designed for eTextile projects.
The LilyPad is sewn directly onto my Chrome messenger bag, and connected to a 2000mA/h battery and charging circuit from SparkFun electronics.
Power is routed through the bag’s lining (thanks to Tania Campos who is a goddess with a sewing machine) and connects to a small perf-board directly opposite the arduino.
This perf-board serves as a breakout for the arduino and contains a 3.3V voltage regulator, a 5V to 3.3V level logic converter, and connections to a GPS chipset and vibration motors.
A small GPS chipset mounted on the arm strap of the bag allows the bag to constantly monitor speed, heading, latitude, and longitude.
Sewn into the back of the bag are a series of 8 shaftless vibration motors. These motors form a circle around your chest, and correspond with the points on a compass.
Debugging and configuration of the MapBag is handled via serial communication with a jailbroken iPhone running minicom.
Videos while under construction:
Same project and same code as before, but with a unified Z-axis. In this mode hosts that are generating a lot of traffic form structures. My machine is the large grey tower.
My NetEnvironment project. Using Processing and the FBI’s Carnivore source code to generate a real time 3D environment that reflects current traffic on a network.
The code sniffs for all TCP/UDP connections and plots machines (cubes) and then draws connections between two machines (curves).
In this version higher port numbers (I had BitTorrent running) are higher in space, and lower port number are lower in space (take a close look when I refresh The New York Times website).
Super basic and super slow at this point, but hey, it works!
Missed
Every Girl I’ve Been In A Relationship With (1 of 2) (1,427 Photographs)
(I think the code glitched on this one…)
Every Image Of A Person I’m Unable To Identify (2 of 2: 687 Photographs)
Every Image Of A Person I’m Unable To Identify (1 of 2: 487 Photographs)
Every Image Of A Time I’ve Been Afraid Of An Animal (187 Photographs)
Every Image I Added A Lightbulb To In An Attempt To Elicit An Emotional Response (101 Photographs)
Every Questionable Situation I’ve Willingly Placed Myself In (2,920 Photographs)
Averaged: Every Building I Should Have Never Been In (2,290 Photographs)
Everything I’ve Consumed In The Last Week (57 Images)
For the next few weeks I’ll be posting images generated by an averaging program I’ve written. This program takes a set of images I’ve selected, adds each pixel from each image to the image before it, then averages the color information, creating a new image. I’d like to talk about memory, augmentation, and metadata, but that can be handled later.
Obligatory hat tip to Jason Salavon.
Chersnowbyl
Watching Lake Michigan breathe.
