September 30, 2011
Hello Gan and everyone!
Congratulations, Gan, for this outstanding accomplishment. I am so excited about your project. It is exactly what we need, and I really enjoyed viewing the video which you sent me privately. I understand that your university does not want us to post the video on the internet, so unfortunately we cannot share the video with the SignWriting List, but if there is ever a chance for permission to show people I think it will really help further interest in your software development. I know you are moving on to other work, and congratulations also on your new work. I hope that others will take up your project and develop it further. I will definitely write more soon to comment on your video, so you get my feedback, and I can tell the List about it, although they cannot see the video -
A great big THANK YOU, Gan, and thank you for sharing with our List -
On Sep 30, 2011, at 3:11 AM, Gan Lu wrote:
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
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!
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