I am currently looking for a programation language that allows me to create my own diagrams.
You can find attached the types of diagram I would like to create.
Speed variator block diagram
Antenna signal reception
Antenna transmission/reception
Algorithm
What language could you recommend me ?
I think LaTEX is a good language to do this right ? If so, could you recommend me courses to learn this language ?
Thank you in advance,
kind regards,
Marco
For now, I didn't tried anything except online diagram software, but those don't allow me to do what I would like...
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I have read the documentation for the Roboforth environment from STrobotics and recognized that this a nice way for programming a robot. What I missed is a sophisticated software library with predefined motion primitives. For example, for picking up a object, for regrasping or for changing a tool.
In other programming languages like Python or C++, a library is a convenient way for programming repetitive tasks and for storing expert knowledge into machine-readable files. Also a library is good way for not-so-talented programmers to get access on higher-level-functions. In my opinion Forth is the perfect language for implementing such an API, but I didn't find information about it. Where should I search? Are there any examples out there?
I am author of RoboForth, and you make a good point. I have approached the problem of starting off new users with videos on YouTube; see How to... (playlist with 6 items, e.g "ST Robotics How-to number 1 - getting started") which is a playlist covering basics and indeed tool changing.
I never wrote any starter programs, because the physical positions (coordinates) would be different from one user to the next, however I think it can be done, and I will do it. Thanks for the heads up.
I am basically just starting out in computer programming; mostly fluent in basic Java. I have an idea of creating an ASL (American Sign Language) to English, and my initial problem is how to identify hand movement from a webcam then comparing them to Signs that is already stored as an image or another video. If the problem is a bit too advanced for me then please list any major concepts that I can learn. Please and thank you.
You clearly have a challenging problem ^^. Try to explain all you need to solve your problem would be very hard, mainly because there many ways to do this. I advice you to read a nice book about image processing (Gonzalez' book is a nice choice) and the OpenCV documentation (but it is implemented in C, C++ and has Python bindings; although it's a library that implements a lot of image processing techniques). Maybe you should focus your study on feature detection, motion analysis and object tracking. As sign language uses not just hand sign (static state) but also hand moviments (dynamic state) to express something, object tracking may be a good way to describe the signs.I hope these informations help you, at least a little -^.^- Bye bye.
Look at OpenCV. They have a lot of libraries that you might find handy.
http://opencv.willowgarage.com/wiki/
I am searching for an algorithm to determine whether realtime audio input matches one of 144 given (and comfortably distinct) phoneme-pairs.
Preferably the lowest level that does the job.
I'm developing radical / experimental musical training software for iPhone / iPad.
My musical system comprises 12 consonant phonemes and 12 vowel phonemes, demonstrated here. That makes 144 possible phoneme pairs. The student has to sing the correct phoneme pair 'laa duu bee' etc in response to visual stimulus.
I have done a lot of research into this, it looks like my best bet may be to use one of the iOS Sphinx wrappers ( iPhone App › Add voice recognition? is the best source of information I have found ). However, I can't see how I would adapt such a package, can anyone with experience using one of these technologies give a basic rundown of the steps that would be required?
Would training be necessary by the user? I would have thought not, as it is such an elementary task, compared with full language models of thousands of words and far greater and more subtle phoneme base. However, it would be acceptable (not ideal) to have the user train 12 phoneme pairs: { consonant1+vowel1, consonant2+vowel2, ..., consonant12+vowel12 }. The full 144 would be too burdensome.
Is there a simpler approach? I feel like using a fully featured continuous speech recogniser is using a sledgehammer to crack a nut. It would be far more elegant to use the minimum technology that would solve the problem.
So really I'm hunting for any open source software that recognises phonemes.
PS I need a solution which runs pretty much real-time. so even as they are singing the note, firstly it blinks on to illustrate that it picked up the phoneme pair that was sung, and then it glows to illustrate whether they are singing the correct note pitch
If you are looking for a phone-level open source recogniser, then I would recommend HTK. Very good documentation is available with this tool in the form of the HTK Book. It also contains an entire chapter dedicated to building a phone level real-time speech recogniser. From your problem statement above, it seems to me like you might be able to re-work that example into your own solution. Possible pitfalls:
Since you want to do a phone level recogniser, the data needed to train the phone models would be very high. Also, your training database should be balanced in terms of distribution of the phones.
Building a speaker-independent system would require data from more than one speaker. And lots of that too.
Since this is open-source, you should also check into the licensing info for any additional details about shipping the code. A good alternative would be to use the on-phone recorder and then have the recorded waveform sent over a data channel to a server for the recognition, pretty much something like what google does.
I have a little bit of experience with this type of signal processing, and I would say that this is probably not the type of finite question that can be answered definitively.
One thing worth noting is that although you may restrict the phonemes you are interested in, the possibility space remains the same (i.e. infinite-ish). User training might help the algorithms along a bit, but useful training takes quite a bit of time and it seems you are averse to too much of that.
Using Sphinx is probably a great start on this problem. I haven't gotten very far in the library myself, but my guess is that you'll be working with its source code yourself to get exactly what you want. (Hooray for open source!)
...using a sledgehammer to crack a nut.
I wouldn't label your problem a nut, I'd say it's more like a beast. It may be a different beast than natural language speech recognition, but it is still a beast.
All the best with your problem solving.
Not sure if this would help: check out OpenEars' LanguageModelGenerator. OpenEars uses Sphinx and other libraries.
http://www.hfink.eu/matchbox
This page links to both YouTube video demo and github source.
I'm guessing it would still be a lot of work to mould it into the shape I'm after, but is also definitely does do a lot of the work.
Out of curiousity, does anybody know the platform and programming language used to program the Roomba? I'm not so much talking about aftermarket kits but what is used to implement the algorithm at the factory?
Per this link, Roomba's microcontroller is a Freescale (ex-Motorola) MC9S12E -- what iRobot specifically uses in terms of programming languages may be their trade secret, but I believe such devices are typically programmed in assembly and C, e.g. with this kit.
I was doing some dev work on a iRobot Create. I'm using WinAVR and the code is in C.
You can get a dev kit for under $300.00
http://store.irobot.com/shop/index.jsp?categoryId=3311368
The Linux Journal had an article about using Python with the iRobot Create which is based off the Roomba.
http://www.linuxjournal.com/article/10262
It may not be what they use in the factory, but it looks like it would be the best way to hack a Roomba-esque floor crawling bot.
I'm currently working on upgrading a product for the Chinese market. The target is a ARMTDMI7 with a QVGA display. Most resources I've located on the net are targeted at desktop or web programming rather than embedded devices.
Can anyone suggest some tools and
resources that might be useful?
What are the best techniques for
extracting literal strings and
communicating with translators?
I suggest looking at EasyGUI but that depends on what graphics controller you use.
EasyGUI is a tool that simplifies design of user interfaces and comes with complete source code and driver for a varity of display controllers.
For localization you can use EasyTranslate that gives the translater a graphical representation of the interface. This lets the translator see how the translated texts fit on the screen.
EasyGUI is available with unicode support aswell as right to left script.
Freetype might be good for rendering fonts.
www.freetype.org
There are many ARM microcontroller forums which will help you find what you're looking for.
Atmel has a line of ARM7 processors, and they are pretty friendly to those who make a hobby out of this, so there's a lot of information on this processor. It won't be the same, but generally the tools and libraries can be used across the ARM line so you might find some help here - you'll want to focus on the AT91SAM7 series.
If you have more specific questions, you will probably get some reasonable response here.
-Adam
It sounds like you need to upgrade an existing codebase to make it support multiple languages.
If so, the fact that this is on a microcontroller shouldn't be an issue - I'd drop that fromt he title and focus on the language you're using (c?) and ask how to convert your program for internationalisation.
This is a problem many people have solved on a variety of platforms, and the fact this you're on a microcontroller doesn't mean that the same tools and such don't apply - the relevant factor is the language you're using
-Adam