Human intention recognition in Smart Assisted Living Systems using a Hierarchical Hidden Markov Model | IEEE Conference Publication | IEEE Xplore

Human intention recognition in Smart Assisted Living Systems using a Hierarchical Hidden Markov Model


Abstract:

In this paper, we propose a smart assisted living (SAIL) System and design a hierarchical hidden Markov model (HHMM) based algorithm for human intention recognition. We f...Show More

Abstract:

In this paper, we propose a smart assisted living (SAIL) System and design a hierarchical hidden Markov model (HHMM) based algorithm for human intention recognition. We focus on the problem of classifying hand gestures by using a single inertial sensor worn on a finger of the subject. The variation of context information, which is modeled by an HMM is used to improve the accuracy of hand gesture recognition in our previous work. The obtained results prove the effectiveness of our method.
Date of Conference: 23-26 August 2008
Date Added to IEEE Xplore: 19 September 2008
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Conference Location: Arlington, VA

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