{"id":"W4280514173","doi":"10.3390/s22103650","title":"A Systematic Study on Electromyography-Based Hand Gesture Recognition for Assistive Robots Using Deep Learning and Machine Learning Models","year":2022,"lang":"en","type":"article","venue":"Sensors","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Mitacs; Compute Canada; Polytechnique Montréal","keywords":"Artificial intelligence; Computer science; Machine learning; Robot; Deep learning; Electromyography; Feature (linguistics); Gesture recognition; Gesture; Physical medicine and rehabilitation","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001524932,0.0005678058,0.0006220245,0.0008948428,0.0001462485,0.0006804616,0.0004479314,0.0004760387,0.0006243334],"category_scores_gemma":[0.004503102,0.0002584614,0.000743665,0.001304212,0.0002775426,0.00102706,0.0003670611,0.0005245436,0.0003188793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002536903,"about_ca_system_score_gemma":0.0006411496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491326,"about_ca_topic_score_gemma":0.001413759,"domain_scores_codex":[0.9989681,0.0002565595,0.0001246052,0.0002694673,0.0003494543,0.00003184239],"domain_scores_gemma":[0.9974232,0.001169953,0.0001921883,0.0002339773,0.0009504329,0.00003039993],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000125986,0.0002588243,0.007708292,0.002442623,0.0003634169,0.0001136957,0.0001212285,0.02489635,0.02823327,0.003230973,0.001670229,0.9308351],"study_design_scores_gemma":[0.00007753665,0.004887075,0.06791594,0.003245129,0.001575877,0.001566898,0.000547106,0.6763462,0.1441079,0.006804024,0.09270691,0.0002193797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1849552,0.1808464,0.6229433,0.0008569567,0.0003950794,0.0002849607,0.0003773352,0.0005476985,0.008793092],"genre_scores_gemma":[0.6971534,0.1269666,0.1635814,0.0006176412,0.0004223934,0.0003357572,0.001078769,0.0001592851,0.009684679],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001524932,"threshold_uncertainty_score":0.008064687,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03198505694666148,"score_gpt":0.2349394552912176,"score_spread":0.2029543983445561,"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."}}