Tuesday, 25 July 2017

genetic algorithms to select filters for evoked potential enhancement

Use of evolutionary algorithms to select filters for evoked potential enhancement
Scott Turner
University of Leicester
Published: 2000
http://hdl.handle.net/2381/29366
DOI: 10.13140/RG.2.1.3654.3204

Abstract
Evoked potentials are electrical signals produced by the nervous system in response to a stimulus. In general these signals are noisy with a low signal to noise ratio. The aim was to investigate ways of extracting the evoked response within an evoked potential recording, achieving a similar signal to noise ratio as conventional averaging but with less repetitions per average. In this thesis, evolutionary algorithms were used in three ways to extract the evoked potentials from a noisy background. First, evolutionary algorithms selected the cut-off frequencies for a set of filters. A different filter or filter bank was produced for each data set. The noisy signal was passed through each filter in a bank of filters the filter bank output was a weighted sum of the individual filter outputs. The goal was to use three filters ideally one for each of the three regions (early, middle and late components), but the use of five filters was also investigated. Each signal was split into two time domains: the first 30ms of the signal and the region 30 to 400ms. Filter banks were then developed for these regions separately. Secondly, instead of using a single set of filters applied to the whole signal, different filters (or combinations of filters) were applied at different times. Evolutionary algorithms are used to select the duration of each filter, as well as the frequency parameters and weightings of the filters. Three filtering approaches were investigated. Finally, wavelets in conjunction with an evolutionary algorithm were used to select particular wavelets and wavelet parameters. A comparison of these methods with optimal filtering methods and averaging was made. Averages of 10 signals were found suitable, and time-varying techniques were found to perform better than applying one filter to the whole signal.













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Sunday, 16 July 2017

Cozmo, Ohbot go to Code Club

I have recently taken two robots to a Code Club, here are a couple of reflections/observations.
Cozmo
This robot produced by Anki is incredibly cute - a cross between Wall-E and a pet in some respects.

 The code below was produced by the 'Code-Clubbers' and gets Cozmo to speak move around and operate its forks at the front. Anecdotally, someone was trying to work on something but couldn't resist coming and having another look at what it was doing.





Ohbot




Ohbot provided a different opportunity to play with a robot, getting to move the mouth, speak and track faces. My first impression was some of the children were a bit wary, until they found out they could control what it says and that seemed to break the ice.



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Friday, 30 June 2017

Cozmo is programmable

The incredibly cute robot Cozmo became even more engaging recently with the ability to program it. A recent update to the Cozmo app (see related links) to include Code Lab allowing programming of Cozmo through of a graphical programming approach based on Scratch Blocks.



An example of the code is shown below, getting Cozmo to:

  • Start moving around
  • Wait until it see a face
  •       Says Hi Everybody 
  •       Moves forward
  •       Sounds like a cat
  •       Looks down and then raises it's forks
  •       Acts 'grumpy'
  •       Acts 'happy'

The video at the end shows this in action.
It is an easy to use tool and with a lot of the Cozmo actions available in the blocks, put a few blocks together and very quickly you have Cozmo doing some interesting and often funny actions. Is it very flexible, no; but it is not meant to be - it is meant to be easy to use and it is and great fun. Personally, I felt the app needed this addition, it adds the element to take this toy further into a coding toy (yes another one) that it feels, to me, it should be.





Related posts
Cozmo-Wall-E has a rival
Cozmo is coming to the UK
Android app
iPad app




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Saturday, 24 June 2017

Crumble Junkbot at Code Club

Tried out the Junkbot controlled by a Crumble Controller (See here for plans for it) at the Code Club I help with at Roade Primary School, Northamptonshire.

 The first two images show the junkbot drawing the lines and dots on the paper just be using a spinning unbalanced motor.


In the figure below (though you can't see it) the connection between the motor and the power goes through the Crumble to allow the motor to change direction. Some the 'code-clubbers' have played with lowering the power via the Crumble and found below certain values (percentage of the maximum power available through the Crumble) the motor stalls.



The simple code used to control it shown below.


Links


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Thursday, 22 June 2017

Girls into Engineering event - Computing -22/6/2017

The Computing teams NAO robots seemed to have been a hit today: 


 The robots were a hit it sounds see below:


All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon
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Monday, 19 June 2017

MSc Computing student Hussein Ajam delivering lightning talk at prestigious ACM conference


Ajam, H., Ramdhany, R., Hammond, M. and Mu, M. (2017) 
A middleware to enable immersive multi-device online TV experience. In: Proceedings of the ACM International Conference on Interactive Experiences for TV and Online Video. New York: ACM.

 Conference: Association of Computing Machinery International Conference on Interactive Experiences for Television and Online Video (ACM TVX 2017) Hilversum, The Netherlands 14-16 June 2017

 Abstract: Recent years have witnessed the boom of great technologies of smart devices transforming the entertainment industry, especially the traditional TV viewing experiences. In an effort to improve user engagement, many TV broadcasters are now investigating future generation content production and presentation using emerging technologies. In this paper, we introduce an ongoing work to enable immersive and interactive multi-device online TV experiences. Our project incorporates three essential developments on content authoring, device discovery, and cross-device media orchestration.

 To read more go to: http://nectar.northampton.ac.uk/9458/



All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon
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My experience of CAS conference 2017 through tweets



As an experiment, I looked at using the TAG tool to collect my tweets on the CAS conference. Used the TAGS searchable link http://bit.ly/2rMnqLd
















All opinions in this blog are the Author's and should not in any way be seen as reflecting the views of any organisation the Author has any association with. Twitter @scottturneruon
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Who wants to produce AI produced cartoon strips

Question: How easy is it produce a comic/cartoon using genetative AI? Let's start with  using ChatGPT4o to produce cartoons. The idea wa...