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Electromyographic Gesture Recognition Algorithms!
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| blindflash | Date: Sunday, 2016/January/31, 2:49 PM | Message # 2 |
 Forum Private
Group: Graduate
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| Good job man!
ayy lmao
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| Mikm0nk | Date: Sunday, 2016/January/31, 2:53 PM | Message # 3 |
 Forum Lieutenant
Group: Forum Visitor
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| PogChamp
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| NeonFire | Date: Thursday, 2016/February/04, 9:52 PM | Message # 4 |
 Thursday, February 12th, 2015
Group: Blocked
Messages: 526
Status: Offline
| just remember you know nothing about infinity and theres no homeless people in britain
-Former CDA
-Not a communist
-LOOK AT MY SUIT
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| shortland | Date: Thursday, 2016/February/04, 11:15 PM | Message # 5 |
 Forum Major general
Group: High Command
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| I miss u @NeonFire
[Captain] : [Admiral] : [Domestic Advisor]
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| remo | Date: Sunday, 2016/March/20, 2:24 AM | Message # 6 |
 Thursday, February 12th, 2015
Group: Administrators
Messages: 1010
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| I've been less than active with the clan over the last month and a half as I have been working on an extracurricular research project based on the 36hr HackMT project. Today I reached something of a milestone and I'd like to share. Since it is 2am Sunday morning, instead of doing a big writeup I'll simply quote the email I sent to the participants in the project.
Guys, when we presented the project at HackMT we had some rough code, some data, some excel plots put together by hand, a bunch of handwritten explanatory plots and frankly, a lot of handwaving. What we did not have were good plots our of computed values exhibiting per gesture clustering from which we could do real gesture detection.
I've been continuing to work on the project ever since in fits and starts and I'm pleased to announce the first real results from the project:
https://cs.mtsu.edu/~jrf2m/sums.html
I won't go over the method in detail, it is more or less as you remember it from HackMT on a theoretical level.
The end product after interval detection, integration and vectorization are two scalar values for each detected gesture event. These are the angle of the sum of the vectors and a measure of oblateness.
You can see a scatter plot of oblateness vs angle on the third row of plots. Each type of gesture gets its own plot and each participant gets his own color coding.
Three of our gestures show clear, and for the most part mutually exclusive, clustering:
counterclockwise
fist
peace
Two of our gestures fail to show meaningful clustering:
clockwise
horns
One gesture shows clustering but its less clear and has a degree of overlap with our three good gestures:
thumbsup
There is a tremendous amount of refinement that can be done with the code to improve on these results and I think we would also collect some better controlled data. However, the general method seems to be valid. I am quite pleased with these initial results.
I want to thank each of you who participated in the HackMT project, this would not be possible without your ideas and data samples.
The project is far from over, but I think this is a natural place to stop, reflect and plan. I will probably want to collect a second data set at some point and I would appreciate any suggestions or code contributions you might have. I will be in touch as the project continues.
Thanks,
Remo
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| shortland | Date: Sunday, 2016/March/20, 3:40 AM | Message # 7 |
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Forum Major general
Group: High Command
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| sounds awesome  and complicated t.t
[Captain] : [Admiral] : [Domestic Advisor]
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