@article{4299,
  author = {Xinfei},
  title = {Double Layer HMM Body Part Motion Recognition Based on Fuzzy Theory},
  journal = {Journal of Networking Technology},
  year = {2024},
  volume = {15},
  number = {4},
  doi = {https://doi.org/10.6025/jnt/2024/15/4/126-133},
  url = {https://www.dline.info/jnt/fulltext/v15n4/jntv15n4_2.pdf},
  abstract = {Body part motion recognition is an important research direction in computer vision
and artificial intelligence, widely used in motion analysis, rehabilitation medicine,
and game interaction. Traditional methods for recognizing body part movements
are usually based on image processing, machine learning, or deep learning
techniques. This article proposes a body part motion recognition method based on
fuzzy theory and a double-layer hidden Markov model (HMM). This method aims to
improve the accuracy and robustness of motion recognition, providing an effective
solution for real-time motion capture and pose recognition applications.},
}