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2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning

EducaçãoTecnologia
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Tangible Objects for E-Learning Abdulmotaleb El Saddik FIEEE, FCAE, FEIC
 
At a glance Creation of Advanced Multimedia LO Protection of LO Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
Introduction ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multimedia and Authoring ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multimedia Authoring Tools ,[object Object],[object Object]
HAMLAT ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
HAMLAT Implementation (demo)
A Multimedia Handwriting Learning and Evaluation Tool ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Multimedia Learning Tool ,[object Object],[object Object],[object Object],[object Object],[object Object]
Multimedia Learning Tool
Learning Mode -1- ,[object Object],[object Object]
Learning Mode -2- ,[object Object],[object Object],[object Object],[object Object]
Evaluation Mode -1- ,[object Object]
Evaluation Mode -2- ,[object Object],[object Object],[object Object],[object Object],Given two time series // x i is a point in the test trajectory X = x 0 , x 1 , …, x N-1 // y i is a point in the ref. trajectory Y = y 0 , y 1 , …, y T-1 D(x i ,y i ) = sqrt((abs(x i )-abs(y i ))^2 + (ord(x i )-ord(y i ))^2) DTW[0,0] = D(x 0 ,y 0 ) For i=1 to T-1 DTW[0,i] = D(x 0 ,y i ) + DTW[0,i-1] For i=1 to N-1 DTW[i,0] = D(x i ,y 0 ) + DTW[i-1,0] For i=1 to N-1 For j=1 to T-1 DTW[i,j]=D(x i ,y j )+min{DTW[i,j-1],DTW[i-1,j],DTW[i-1,j-1]} Return (DTW[N-1,T-1])
Performance Evaluation -1- ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Performance Evaluation -2- ,[object Object]
Performance Evaluation -3- ,[object Object]
Performance Evaluation -4- (Demo) The DTW distances for five Japanese characters Character Threshold Distance (x10 3 mm) Easy Medium Difficult Sa 5.5 2.5 1 Shi 4 1 0.5 Chi 5 2.5 1 Tsu 4 1.5 1 Na 10 6 1
At a glance Creation of Advanced Multimedia LO Protection of LO Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
Haptic signal prediction, compression, and watermarking Watermark haptic signals to protect copyright and authenticate content.
Case Study: Identifying Human Pattern with Haptics The Experiment Methodology Dynamic Time Warping : + Nelder-Mead non-linear minimization Spectral analysis: Fast Fourier Transform Unsupervised Method: K-Means Graphic Representation Data Trial Timestamp Position X Position Y … Force X ( N) 1 0 0.23344 0.56768 0.00456 1 … .. … … 1 0.0123090 0.37676 0.98976 0,03767
Verifying such feasibility ( demo ) Virtual Check Virtual Mobile Phone Performance Ambient Intelligent Engine
At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
Navigation ,[object Object],[object Object],[object Object]
At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
[object Object],[object Object]
Toddler Interfaces ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Alphabet Learning Evaluation ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Demo 1 Demo 2
At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
Clustering and 3D Mapping Semantic keyword metrics MST tree Overall clustering process design
Searching/Sharing Learning Objects
Sample Interface: Dynamic Traffic Layout
Multimodal Interaction ( demo )
At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
Last thoughts
Acknowledgment
October 4, 2005 Dankie WAD MAHAD SAN TAHAY GADDA GUEY Ευχαριστώ Urakoze Asante متشکرم DMnvwd go raibh maith agaibh

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2011 06 01 (uned) emadrid aelsaddik uottawa tangible objects for e learning

  • 1. Tangible Objects for E-Learning Abdulmotaleb El Saddik FIEEE, FCAE, FEIC
  • 2.  
  • 3. At a glance Creation of Advanced Multimedia LO Protection of LO Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
  • 4.
  • 5.
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  • 19. Performance Evaluation -4- (Demo) The DTW distances for five Japanese characters Character Threshold Distance (x10 3 mm) Easy Medium Difficult Sa 5.5 2.5 1 Shi 4 1 0.5 Chi 5 2.5 1 Tsu 4 1.5 1 Na 10 6 1
  • 20. At a glance Creation of Advanced Multimedia LO Protection of LO Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
  • 21. Haptic signal prediction, compression, and watermarking Watermark haptic signals to protect copyright and authenticate content.
  • 22. Case Study: Identifying Human Pattern with Haptics The Experiment Methodology Dynamic Time Warping : + Nelder-Mead non-linear minimization Spectral analysis: Fast Fourier Transform Unsupervised Method: K-Means Graphic Representation Data Trial Timestamp Position X Position Y … Force X ( N) 1 0 0.23344 0.56768 0.00456 1 … .. … … 1 0.0123090 0.37676 0.98976 0,03767
  • 23. Verifying such feasibility ( demo ) Virtual Check Virtual Mobile Phone Performance Ambient Intelligent Engine
  • 24. At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
  • 25.
  • 26. At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
  • 27.
  • 28.
  • 29.
  • 30. At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
  • 31. Clustering and 3D Mapping Semantic keyword metrics MST tree Overall clustering process design
  • 33. Sample Interface: Dynamic Traffic Layout
  • 35. At a glance Creation of Advanced Multimedia LO Protection of LO by Digital Watermarking Navigation of LOR by VR metaphors Adaptation of LO according to user context/profile & network QoS LO Delivery to user
  • 38. October 4, 2005 Dankie WAD MAHAD SAN TAHAY GADDA GUEY Ευχαριστώ Urakoze Asante متشکرم DMnvwd go raibh maith agaibh

Notas do Editor

  1. Pinching is also a form of posture, whereas sign language is a good example of a gesture