HI from Maureen - Note system uses Parkhurst

[Charles Butler]

I am not going against your conclusions, Gan Lu, I teach the Parkhurst rule as I believe that it is consistent if applied across the board to where the hands actually are using gloves to be certain and unambiguous.
The early typing experiments which had a very large corpus, and which I was taught from Valerie were where I first learned to write when the system was in press-type and all hand-written. 

Charles

--- On Fri, 9/30/11, Gan Lu <GLu at UCLAN.AC.UK> wrote:

From: Gan Lu <GLu at UCLAN.AC.UK>
Subject: Re: HI from Maureen - Note system uses Parkhurst
To: SW-L at LISTSERV.VALENCIACOLLEGE.EDU
Date: Friday, September 30, 2011, 8:35 AM



 


 


Yes, sorry that I forgot to mention that the system is able to detect the facing direction of the hand, i.e., facing upwards/downwards/sidewards.....



Gan



From: SignWriting List: Read and Write Sign Languages [SW-L at LISTSERV.VALENCIACOLLEGE.EDU] on behalf of Charles Butler [chazzer3332000 at YAHOO.COM]

Sent: Friday, September 30, 2011 12:20 PM

To: SW-L at LISTSERV.VALENCIACOLLEGE.EDU

Subject: Re: HI from Maureen - Note system uses Parkhurst









Please note the hands facing upward. The right and left hands, generated by gloves, produce the Parkhurst thumbs on the outside of the hand. I believe that is significant in having the signwriting tied directly to the
 human experience.



Charles Butler



--- On Fri, 9/30/11, Maureen Doyle <maureengndoyle at HOTMAIL.COM> wrote:




From: Maureen Doyle <maureengndoyle at HOTMAIL.COM>

Subject: HI from Maureen

To: SW-L at LISTSERV.VALENCIACOLLEGE.EDU

Date: Friday, September 30, 2011, 6:19 AM






 Hi Gan.. 

 Congratulations.... on your achievments.. 

 if you want too ...... add details to our facebook page..and 

send  a short editorial about your work   to our webmaster for our main webpage..



 best wishes.. 

www.practicemakesperfect.org.uk 





 
  
Maureen  








Date: Fri, 30 Sep 2011 10:11:52 +0000

From: GLu at UCLAN.AC.UK

Subject: news updating for the automatic hand gesture and movement recognition system

To: SW-L at LISTSERV.VALENCIACOLLEGE.EDU





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Hello, everyone on the list!



 I am Gan Lu, a former PhD student from University of Central Lancashire. Sorry 
that I have not been in touch for long… I am writing to you to let you know that my PhD has been awarded in August this year. Also, I would like to share to you the progress I have made in my PhD project, which
 is entitled "Real-time Immersive Human-Computer Interaction based on Tracking and Recognition of Dynamic Hand Gestures", particular, in terms of the Direct Sign Writing (DSW) system development.
 
  By the end of my PhD research, the prototype of the DSW system for dynamic hand gesture and movement tracking and recognition has been successfully developed.
 As you may see from the attached video file, with the hand posture data gathered from the ShapeHand data gloves as well as the hand orientation and movement trajectories acquired by the InterSense wrist trackers, the DSW system is shown to be able to produce
 the corresponding SW symbols by recognising dynamic and complex hand gestures automatically. These gestures and movements contains different hand configurations.




  For hand gesture, the fingers configuration can be classified as Close/half-close/open and abduction/adduction; hand orientations can be classified as left/right hand being placed on floor/wall plane and on each plane it has eight principal directions, which
 are horizontal/vertical/diagonal.  For hand movements, they can be classified as: left/right hand movements on floor/wall plane,
on each plane it has eight principal directions, which are horizontal/vertical/diagonal. The movement can be straight/curved movement paths, clockwise/anti-clockwise
 movements, and single/repeated movements.



   Furthermore, the DSW system includes a special visual interface to enable the user to see his/her hand movements as well as the SW symbols produced in each stage of the signing sequence.

 
  To test the accuracy and effectiveness of the system, some example gestures have been selected and tested, which are taken from the first page of the book of "Frosty the Snowman”. The SignWriting
 symbols can be found on 
http://www.signbank.org/SignPuddle1.5/searchword.php?ui=1&sgn=5&sid=459.

 
Although there are still some errors for the gesture and movement recognition, and many technical difficulties need to be overcome, I reckon it provided a novel idea for automatic direct sign writing
 based on dynamic hand gestures and movements, and it forms the basis to develop a fully human gesture recognition system based on all human gestures.
  
 
Above just a brief summary of the work we have done. 
Finally, I would like to take this opportunity to thank all of you, especially Val and Adam, who have given me many useful help and suggestions throughout this research. Thanks very much to you! 






Best Regards

Gan Lu


















 

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