MCLab Seminar

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Video Multicast over Wireless Networks

Machine Learning

"참고사이트"

  1. 머신러닝 레볼루션(머신러닝의 이해와 비즈니스 기회) [1]
  2. Microsoft Band SDK Documentation [2]
  3. Emotions_Research [3]
  4. MEASURING EMOTION: REACTIONS TO MEDIA [4]
  5. The analysis of emotion recognition from GSR based on PSO [5]
  6. IPFM 모델의 해석을 통한 심박변이도 해석 [6]
  7. 생체 데이터 사이트, http://www.physionet.org/
  8. Data Analysis with Pandas, https://pythonprogramming.net/

박경수

김왕수

Kinect v2

  1. Tag Archives: Kinect for Windows SDK Tips [7]
  2. Abhijit Jana, Kinect for Windows SDK Programming, Packt Publishing, 2012. [8]
  3. Jarrett Webb and James Ashley, Beginning Kinect Programming with the Microsoft Kinect SDK, Apress, 2012. [9]
  4. Kinect v2 SDK 2.0 Reference: https://msdn.microsoft.com/en-us/library/dn782038.aspx
  5. Kinect Studio Reference: https://msdn.microsoft.com/en-us/library/microsoft.kinect.tools.aspx
  6. Face Tracking: https://msdn.microsoft.com/ko-kr/library/dn782034.aspx
  7. High Definition Face Tracking:https://msdn.microsoft.com/ko-kr/library/dn785525.aspx
    • Orientation and location
    • Animation Units - 17AUs (Most of the AUs are expressed between 0 and 1, but three of them vary between -1 and 1. Their names are Jaw Slide Right, Right Eyebrow Lowerer, and Left Eyebrow Lowerer.)
    • Shape Units - 70 SUs - (SUs are expressed between -2 and 2.)
    • Face Model - High Detail Face Points Enumeration (36)[10]
  8. KINECT & HOLOLENS, http://pterneas.com/
  9. Brekel Kinect Pro Face v2 - Visualize Dept, InfraRed, Color & Point Clound, http://brekel.com/pro-face-v2-released/
  10. Programming Kinect for Windows v2, MSDN 강좌. [11]