MultiDimensionalDat​aHMMImplementationE​xample

This example contains MATLAB code for testing Hidden Markov Models (HMMs) using multi-dimensional trajectory data.

https://github.com/jmanri/MultiDimensionalDataHMMImplementationExample

Version 1.0.1 (573 KB)
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3 Mar 2026

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JULIANA (2026). MultiDimensionalDataHMMImplementationExample (https://github.com/jmanri/MultiDimensionalDataHMMImplementationExample), GitHub. Retrieved .

Manrique-Cordoba, Juliana, et al. “Trajectory Learning Using HMM: Towards Surgical Robotics Implementation.” Sensors, vol. 25, no. 11, May 2025, p. 3487, https://doi.org/10.3390/s25113487.

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Manrique-Cordoba, Juliana, et al. “N-Dimensional Reduction Algorithm for Learning from Demonstration Path Planning.” Sensors, vol. 25, no. 7, Mar. 2025, p. 2145, https://doi.org/10.3390/s25072145.

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
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Version Published Release Notes
1.0.1

Updated description
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.