Table of Contents
Data Conditioning
Data conditioning
Sensor fusion
Dimensionality reduction
Data mining
Machine Learning
Statistical analysis
Stream segmentation
Temporal modeling
Data Conditioning
This page focuses on techniques for conditioning and combining sensor data.
Data conditioning
calibration
smoothing
Sensor fusion
Complementary Filter
Kalman Filter
Dimensionality reduction
Principle component analysis
Data mining
Machine Learning
Statistical analysis
mean
median
mode
variance
standard deviation
sample rates
Stream segmentation
Temporal modeling
Markov models
Semi-Markov
Segmental models
Gesture primitives