{"id":"W3081534520","doi":"10.1109/embc44109.2020.9176615","title":"Wearable EMG-Based Gesture Recognition Systems During Activities of Daily Living: An Exploratory Study","year":2020,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Gesture; Gesture recognition; Wearable computer; Computer science; Activities of daily living; Thumb; Hidden Markov model; Speech recognition; Artificial intelligence; Human–computer interaction; Physical medicine and rehabilitation; Medicine; Physical therapy; Embedded system","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":[0.001412872,0.0006171018,0.0006168284,0.0005459459,0.0002366368,0.0004220814,0.0004064698,0.0005498546,0.0006621816],"category_scores_gemma":[0.003383347,0.0002391627,0.0005623209,0.0004351203,0.0004844044,0.0006552881,0.0004885559,0.0001994726,0.0003806358],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772771,"about_ca_system_score_gemma":0.00021282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000904577,"about_ca_topic_score_gemma":0.001096439,"domain_scores_codex":[0.9991109,0.000362713,0.00009689311,0.0001616331,0.0001850175,0.00008279381],"domain_scores_gemma":[0.9983023,0.0008098576,0.0002158843,0.0001446835,0.0004154474,0.0001117264],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.005318023,0.00871975,0.3005577,0.002649858,0.0007038476,0.003609018,0.01749228,0.005474087,0.366232,0.0005505545,0.001169286,0.2875236],"study_design_scores_gemma":[0.0002438925,0.0293678,0.895972,0.0001484339,0.0004249458,0.003827212,0.00768214,0.01748312,0.04092579,0.0002506587,0.00354813,0.0001257301],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9968684,0.0001641554,0.002462951,0.00001649382,0.000003744273,0.0001139046,0.00005666161,0.00001374082,0.000299902],"genre_scores_gemma":[0.9947057,0.0002943549,0.004046009,0.00003077909,0.00001677484,0.0001801971,0.0001358932,0.000006858953,0.0005835007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001412872,"threshold_uncertainty_score":0.007472038,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02818907492579058,"score_gpt":0.2119653264817586,"score_spread":0.183776251555968,"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."}}