Index

• Gesture Recognition with a Neural Net

• Gerstner Wave & Boids (a.k.a. FishTale)

Gesture Recognition with a Neural Net

I used a feed-forward multilayer neural network to do gesture recognition of Wiimote motions. This is the paper I wrote about it: Gesture Recognition

Gerster Waves & Boids (a.k.a. FishTale)
CpSc 426 Project w/Sahar Sajadieh

For comments or questions, please go to my Blogger page: Blogger

Downloads:

Video: Gerstner Waves & Boids

YouTube: Gerstner Waves & Boids

Win32 Binaries: FishTaleWin32.rar*

Src: FishTaleSrc.rar

*I'll be updating the binaries with a few more options soon. This should allow it to run smoother on lower end PCs.

Concept:

• Deep ocean scene with Gerstner modeled deep ocean (infinite depth) waves and boiding flocks of fish.
• Fish have a slight attractive force to the camera, and repulsive force from the water plane.
• Freemoving FPS-style camera.
• Spheremapped water texture.
  
• Skybox is used to create background.
• Fog to create sense of depth.
• Single directional light in -y direction.
• Models in OBJ format are supported.
• Textures can be any format supported by DevIL.

Gerstner Wave Algorithm:[Tessendorf 01]

• x0 - Undisturbed horizontal position on surface.
• y0 - Undisturbed vertical position on surface.
• A - Amplitude of wave.
• k - Wave vector.

• x = x0 - (k / |k|) A sin(k . x0 - wt)
• y = A cos(k . x0 - wt)
• Multiple waves can be summed.

See: RenderableGlWater.h & RenderableGlWater.cpp

Boiding Algorithm:

• d - Distance.
• x0 - Average position amongst neighbours.
• v0 - Average velocity amongst neighbours.

• Separation force - Repulses boids from neighbours based on 1/d
• Cohesion force - Attracts boids to x0 based on d^2.
• Alignment force - Aligns boids in direction of v0.

See: Boider.h & Boider.cpp

Physics:

• Euler integration.

Libraries:

• DevIL
• Boost
• CML
• FreeGlut
• OBJ Loader
• GLEW