Pre-classification based hidden Markov model for quick and accurate gesture recognition using a finger-worn device

@article{Zhou2013PreclassificationBH,
  title={Pre-classification based hidden Markov model for quick and accurate gesture recognition using a finger-worn device},
  author={Yinghui Zhou and Zixue Cheng and Lei Jing and Junbo Wang and Tongjun Huang},
  journal={Applied Intelligence},
  year={2013},
  volume={40},
  pages={613-622}
}
Hidden Markov Model (HMM)-based recognition methods are very commonly used for some applications and can be highly accurate. However, they have a high computational complexity that creates problems when they are used for gesture recognition on resource-constrained wearable devices. In this paper, we propose a pre-classification method to reduce recognition complexity by dividing gesture vocabularies into groups, and maintain, even improve, the recognition accuracy by adaptively adjusting the… CONTINUE READING