Table of Contents
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