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IROS
2006
IEEE

Layered HMM for Motion Intention Recognition

9 years 5 months ago
Layered HMM for Motion Intention Recognition
— We evaluate Layered Hidden Markov Models (LHMM) for motion intention recognition based on actionprimitives or gestemes. The proposed methodology uses three different HMM models at the gesteme level: one-dimensional HMM, multi-dimensional HMM and multi-dimensional HMM with Fourier transform. These three models are evaluated with respect to the number of gestemes, the influence of the number of training samples, the effect of noise and the effect of the number of observation symbols.
Daniel Aarno, Danica Kragic
Added 12 Jun 2010
Updated 12 Jun 2010
Type Conference
Year 2006
Where IROS
Authors Daniel Aarno, Danica Kragic
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