Hand gesture recognition using MYO armband

@article{He2017HandGR,
  title={Hand gesture recognition using MYO armband},
  author={Shunzhan He and Chenguang Yang and Min Wang and Long Cheng and Zedong Hu},
  journal={2017 Chinese Automation Congress (CAC)},
  year={2017},
  pages={4850-4855}
}
Surface electromyography (sEMG) is widely used in clinical diagnosis, rehabilitation engineering and humancomputer interaction and other fields. In this paper, we use Myo armband to collect sEMG signals. Myo armband can be worn above any elbow of any arm and it can capture the bioelectric signal generated when the arm muscles move. MYO can pass of signals through its low-power Blue-tooth, and its interference is small, which makes the signal quality really good. By collecting the sEMG signals… CONTINUE READING

Similar Papers

References

Publications referenced by this paper.
SHOWING 1-10 OF 26 REFERENCES

A

R. N. Khushaba, A. Al-Ani
  • Al-Timemy and A. Al-Jumaily, ”A fusion of time-domain descriptors for improved myoelectric hand control,” 2016 IEEE Symposium Series on Computational Intelligence (SSCI), Athens
  • 2016
VIEW 6 EXCERPTS
HIGHLY INFLUENTIAL

EEG analysis based on time domain properties.

  • Electroencephalography and clinical neurophysiology
  • 1970
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

S

R. N. Khushaba, M. Takruri, J. V. Miro
  • Kodagoda, ”Towards limb position invariant myoelectric pattern recognition using time-dependent spectral features,” Neural Networks, vol. 55, pp. 42-58
  • 2014
VIEW 3 EXCERPTS
HIGHLY INFLUENTIAL

Y

H. J. Kim
  • S. Lee and D. Kim, ”Arm Motion Estimation Algorithm Using MYO Armband,” 2017 First IEEE International Conference on Robotic Computing (IRC), Taichung
  • 2017
VIEW 1 EXCERPT

L

J. G. Abreu, J. M. Teixeira
  • S. Figueiredo and V. Teichrieb, ”Evaluating Sign Language Recognition Using the Myo Armband,” 2016 XVIII Symposium on Virtual and Augmented Reality (SVR), Gramado
  • 2016
VIEW 1 EXCERPT

S

S. Rawat
  • Vats and P. Kumar, ”Evaluating and exploring the MYO ARMBAND,” 2016 International Conference System Modeling and Advancement in Research Trends (SMART), Moradabad
  • 2016

Z

A. Hidayat
  • Arief and H. Yuniarti, ”LOVETT scalling with MYO armband for monitoring finger muscles therapy of post-stroke people,” 2016 International Electronics Symposium (IES), Denpasar
  • 2016
VIEW 1 EXCERPT