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02/14/15 |
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Person Recognition A person recognition system using gait analysis was developed using Hidden Markov Models. Models having data of the walking way of several persons were constructed.
Some examples
Four persons walking
Person 1
Person 1 and his oscillating movement
Person 3
Person 3 and his oscillating movement
HIDDEN MARKOV MODELS Models after training process
Hidden Markov Models with 3 states and 1 mixture.
Hidden Markov Models with 4 states and 1 mixture.
Hidden Markov Models with 6 states and 1 mixture.
A recognition rate of 98% was obtained when a Hidden Markov Model having 4 states and 1 Mixture was used.
was last updated 07/06/14 |
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