A kinematic, imaging and electromyography dataset for human muscular manipulability index prediction

HIGHLIGHTS

• who: amp#x000D3 and collaborators from the Human Robotics group, University of have published the Article: A kinematic, imaging and electromyography dataset for human muscular manipulability index prediction, in the Journal: (JOURNAL) of 29/06/2021
• what: The authors propose KIMHu a Kinematic Imaging and electroMyography dataset for HMM prediction. This model has six degrees of freedom: shoulder abduction/adduction (q1) shoulder flexion/extension (q2) shoulder rotation (q3) elbow extension/ flexion (q4) elbow pronation/supination (q5) and wrist flexion/extension (q6). One of the goals of the dataset is to serve as a benchmark and . . .
  

   

  

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