SpectrumEngine

An implementation of "General Purpose Multisensorial Supervised (& Reinforcement) Learning Algorithm with Time Series Memory Recording & Neural Memory Networking"

SpectrumEngine's purpose is getting continuous data inputs from different types of sensors as events, depending on the predefined threshold values and creating a complex time based relations between these events in memory and we call that Neural Memory Networking. Lastly creating outputs triggered by stimuli that coming from only one perception type.

Supported types of perception:

-  Vision
	- Amodal Perception
	- Color Perception
	- Depth Perception (in Future) (needs Stereoscopic Vision)
	- Form Perception (in Future) (needs Stereoscopic Vision)
	- Relative Velocity Perception (in Future) (needs Stereoscopic Vision)
-  Hearing
	- Speech Perception
	- Rhythmic Perception
	- Harmonic Perception (in Future) (WARNING: High Complexity)
	- Acceleration Perception (in Future) (needs 2 units of Triple Axis Accelerometer)
- Touching (Not Yet Available)
	- Mechanic Perception (in Future) (needs lots of Pressure Sensors)
	- Heat & Cooling Perception (in Future) (needs lots of Temperature Sensors)
- Tasting (Not Yet Available)
	- Solid/Fluid State Chemical Perception (in Future) (WARNING: Sensor Technology Not Available)
- Smelling (Not Yet Available)
	- Gas State Chemical Perception (in Future) (WARNING: Sensor Technology Not Available)

Touching, Tasting and Smelling is not yet available. Because of they are not able to measure with sensors and even if they are available for that then there might be a False Reward & Punishment Mechanism in the network anyway

Version

0.0.86

Dependencies

SpectrumEngine uses a number of open source libraries to do the job:

• Python 2.7 - a widely used general-purpose, high-level programming language.
• PyAudio - provides Python bindings for PortAudio, the cross platform audio API.
• OpenCV - (Open Source Computer Vision) is a library of programming functions mainly aimed at real-time computer vision.
• wave Module - provides a convenient interface to the WAV sound format.
• datetime Module - supplies classes for manipulating dates and times in both simple and complex ways.
• os.path Module - the path module suitable for the operating system Python is running on, and therefore usable for local paths.
• sys Module - provides access to some variables used or maintained by the interpreter and to functions that interact strongly with the interpreter. It is always available.
• audioop Module - operates on sound fragments consisting of signed integer samples 8, 16 or 32 bits wide, stored in Python strings.
• NumPy - the fundamental package for scientific computing with Python.
• multiprocessing Module - a package that supports spawning processes using an API similar to the threading module.
• imutils Module - a series of convenience functions to make basic image processing functions such as translation, rotation, resizing, skeletonization etc.
• PyQtGraph - a pure-python graphics and GUI library built on PyQt4 / PySide and numpy
• PyQt4 - a comprehensive set of Python bindings for Digia's Qt cross platform GUI toolkit.
• time Module - provides various time-related functions.
• argparse Module - makes it easy to write user-friendly command-line interfaces.
• os Module - provides a portable way of using operating system dependent functionality.
• subprocess Module - allows you to spawn new processes, connect to their input/output/error pipes, and obtain their return codes.
• random Module - pseudo-random number generators for various distributions.