Wearable tech is getting to be a big thing. But how we interface with this gear is still a bit of a work in progress. To explore this space, [Bruce Land]’s microcontroller course students came up with an acoustic interface to assist with navigation while walking. With style, of course.
[Bruce], from the Cornell University School of Electrical and Computer Engineering, has been burning up the Hackaday tips line with his students’ final projects. Here’s the overview page for the Sound Navigation Hat. It uses a PIC32 with GPS and compass. A lot of time was spent figuring out how to properly retrieve and parse the GPS data, but for us the interesting bits on that page are how the directional sound was put together.
Audio tones are fed to earbuds with phase shift and amplitude to make it seem like the sound is coming from the direction you’re supposed to walk. Navigation is all based on pre-programmed routes which are selected using a small LCD screen and buttons. One thing’s for sure, the choice of headwear for the project is beyond reproach from a fashion standpoint – engineering has a long history with the top hat, and we think it’s high time it made a comeback.
Is this a practical solution to land navigation? Of course not. But it could be implemented in smartphone audio players for ambient turn-by-turn navigation. And as a student project, it’s a fun way to demonstrate a novel interface. We recently covered a haptic navigation interface for the visually impaired that uses a similar principle. It’ll be interesting to see if either of these interfaces goes anywhere.
Continue reading “Stepping out in Style with Top Hat Navigation”
I came across an interesting question this weekend: how do you establish your East/West location on the globe without modern technology? The answer depends on what you mean by “modern”, it turns out you only have to go back about three centuries to find there was no reliable way. The technology that changed that was a clock; a very special one that kept accurate time despite changing atmospheric conditions and motion. The invention of the Harrison H1 revolutionized maritime travel.
We can thank Andy Weir for getting me onto this topic. I just finished his amazing novel The Martian and I can confirm that George Graves’ opinion of the high quality of that novel is spot on. For the most part, Andy lines up challenges that Mark Watney faces and then engineers a solution around them. But when it came to plotting location on the surface of Mars he made just a passing reference to the need to have accurate clocks to determine longitude. I had always assumed that a sextant was all you needed. But unless you have a known landmark to sight from this will only establish your latitude (North/South position).
Continue reading “Navigating the Oceans is Deadly Without a Clock”
The “absorbed device user” meme, like someone following Google Maps on a smart phone so closely that they walk out into traffic, is becoming all too common. Not only can an interface that requires face time be a hazard to your health in traffic, it’s also not particularly useful to the visually impaired. Haptic interfaces can help the sighted and the visually impaired alike, but a smart phone really only has one haptic trick – vibration. But a Yale engineer has developed a 3D printed shape-shifting navigation tool that could be a haptics game changer.
Dubbed the Animotus by inventor [Ad Spiers], the device is a hand-held cube split into two layers. The upper layer can swivel left or right and extend or retract, giving the user both tactile and visual clues as to which direction to walk and how far to the goal. For a field test of the device, [Ad] teamed up with a London theater group in an interactive production of the play “Flatland”, the bulk of which was staged in an old church in total darkness. As you can see in the night-vision video after the break, audience members wearing tracking devices were each given an Animotus to allow them to navigate through the interactive sets. The tracking data indicated users quickly adapted to navigation in the dark while using the Animotus, and some became so attached to their device that they were upset by the ending of the play, which involved its mock confiscation and destruction.
Performing art applications aside, there’s plenty of potential for haptics with more than one degree of freedom. Imagine a Bluetooth interface to the aforementioned Google Maps, or an electronic seeing-eye dog that guides a user around obstacles using an Animotus and a camera. There’s still plenty of utility in traditional haptics, though, as this Hackaday Prize semi-finalist shows.
Continue reading “Experimental Theater Helps Field test Haptic Navigation Device”
There are plenty of GPS navigation units on the market today, but it’s always fun to build something yourself. That’s what [middelbeek] did with his $25 GPS device. He managed to find a few good deals on electronics components online, including and Arduino Uno, a GPS module, and a TFT display.
In order to get the map images on the device, [middelbeek] has to go through a manual process. First he has to download a GEOTIFF of the area he wants mapped. A GEOTIFF is a metadata standard that allows georeferencing information to be embedded into a TIFF image file. [middelbeek] then has to convert the GEOTIFF into an 8-bit BMP image file. The BMP images get stored on an SD card along with a .dat file that describes the boundaries of each BMP. The .dat file was also manually created.
The Arduino loads this data and displays the correct map onto the 320×240 TFT display. [middelbeek] explains on his github page that he is currently unable to display data from two map files at once, which can lead to problems when the position moves to the edge of the map. We suspect that with some more work and tuning this system could be improved and made easier to use, of course for under $25 you can’t expect too much.
Orientation trackers can be used for a ton of different applications: tracking mishandled packages, theft notification of valuables, and navigation are just a few examples! A recent blog post from Texas Instruments discusses how to build a low-cost and low-power orientation tracker with the MSP430.
Based on the MSP430 LaunchPad and CircuitCo’s Educational BoosterPack, the orientation tracker is very simple to put together. It can also be made wireless using any of the wireless BoosterPacks with a Fuel Tank BoosterPack, or by using the BLE Booster Pack with a built in Lithium Battery circuitry. TI provides all the necessary code and design files in their reference application for getting your orientation tracker up and running. Be sure to see the device in action after the break! This project not only involves building a low-power orientation tracker, but also showcases IQmathLib, a library of optimized fixed point math functions on the MSP430. One of the more challenging aspects of using small MCUs such as the MSP430 or Arduino is how inefficient built in math libraries are. Check out the IQmathLib, it greatly improves upon the built in math functions for the MSP430.
It would be interesting to see this project modified to be a DIY pedometer or be used on a self-balancing robot. It would also be interesting to see the IQmathLib ported to other micros, such as the Arduino. Take a look and see how you can use this reference design in your own projects!
Continue reading “Low-Power Orientation Tracker and an Optimized Math Library for the MSP430”
Long before ships relied on GPS to determine their location – and even before radio navigation systems such as LORAN, vessels relied on a still impressively sophisticated means of determining their position: inertial navigation. The theory is simple: if you keep a few very accurate gyroscopes and accelerometers on board, you’ll be able to calculate where you are relative to your previous position. Since electronic gyros and accelerometers are all over the place, [Sebastian] thought he would have a go at creating his own inertial navigation system.
The difficulty in using this method is that every gyroscope invariably has some error. Since the measurements from the gyros and accelerometers are integrated together, the error is also integrated, resulting in an increasing positioning error as time goes on. With a few clever algorithms and very good sensors, it’s possible to minimize this error.
[Sebastian] doesn’t have really great hardware – he’s only working with a accelerometer/gyro breakout board that’s good enough for experimental purposes. After reading the accelerometer data with an Arduino, he’s able to capture all the sensor data and read it into a Python script.
The next steps are to figure out a decent algorithm to integrate all the sensor data, and possibly add a barometer and magnetic compass for better compensation for errors. The project is still in the early phases, but seeing as how an inertial navigation system is one of the engineering triumphs of the early 20th century, we’re eagerly awaiting any progress updates.
[Reinis] has a Volvo S80. One of the dashboard features it includes is a 6.5″ LCD screen which periscopes up to use as a navigation system. The problem is that Volvo stopped making maps for it around five years ago and there are no maps at all for Latvia where he lives. So it’s worthless… to you’re average driver. But [Reinis] is fixing it on his own by replacing the system with a Raspberry Pi.
That link leads to his project overview page. But he’s already posted follow-ups on hardware design and initial testing. He’s basing the design around a Raspberry Pi board, but that doesn’t have all the hardware it needs to communicate with the car’s systems. For this he designed his own shield that uses an ATmega328 along with a CAN controller and CAN transceiver. The latter two chips patch into the CAN bus on the car’s On Board Diagnostic system. We didn’t see much about the wiring, but the overview post mentions that the screen takes RGB or Composite inputs so he must be running a composite video cable from the trunk to the dashboard.