Research on Lower Limb Motion Recognition Based on Fusion of sEMG and Accelerometer Signals

Weili Qi
Weili Qi
Quan Liu
Quan Liu
Kun Chen
Kun Chen

SYMMETRY-BASEL, 2017.

Cited by: 1|Views3
EI

Abstract:

Since surface electromyograghic (sEMG) signals are non-invasive and capable of reflecting humans' motion intention, they have been widely used for the motion recognition of upper limbs. However, limited research has been conducted for lower limbs, because the sEMGs of lower limbs are easily affected by body gravity and muscle jitter. In t...More

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