{"id":"W4386142339","doi":"10.3390/app13179546","title":"Review of sEMG for Robot Control: Techniques and Applications","year":2023,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Anhui Provincial Key Research and Development Plan; Nanjing Medical University; Science and Technology Commission of Shanghai Municipality; National Natural Science Foundation of China","keywords":"Robot; Artificial intelligence; Computer science; Signal processing; Feature (linguistics); Control engineering; SIGNAL (programming language); Feature extraction; Control (management); Robot control; Robotics; Engineering; Mobile robot; Digital signal processing; Computer hardware","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008054083,0.001093137,0.00103124,0.002391449,0.0003185937,0.00115305,0.001155369,0.001503808,0.004440938],"category_scores_gemma":[0.001248241,0.000432814,0.0007032533,0.002486598,0.0005574575,0.001745464,0.0006481583,0.001239883,0.002484502],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000458285,"about_ca_system_score_gemma":0.0009391422,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009219707,"about_ca_topic_score_gemma":0.0008846254,"domain_scores_codex":[0.9994882,0.00008148704,0.00008263973,0.0001079592,0.0002154074,0.00002421884],"domain_scores_gemma":[0.9991824,0.0004484915,0.00007151247,0.00003880257,0.0002325502,0.00002627477],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005436676,0.00005174628,0.0002325732,0.01218992,0.00008460091,0.0001952793,0.00009088895,0.00101893,0.006094648,0.005362349,0.01640566,0.9582191],"study_design_scores_gemma":[0.0000136028,0.0002664285,0.001891374,0.004427021,0.0001485701,0.002265118,0.000118348,0.002214525,0.003857389,0.005881898,0.9788301,0.00008562261],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0006137999,0.981323,0.01166814,0.0006299448,0.0009876655,0.00002418605,0.00005529145,0.00007103165,0.004626895],"genre_scores_gemma":[0.005100367,0.9808071,0.00887176,0.0005558387,0.001436582,0.00004774349,0.0001236592,0.00003107546,0.003025825],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004440938,"threshold_uncertainty_score":0.0148564,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01889879146912625,"score_gpt":0.2696708327558328,"score_spread":0.2507720412867065,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}