{"id":"W4389543087","doi":"10.1109/embc40787.2023.10340612","title":"EMaGer: A Wearable Full-Circumference HD-EMG Sensor and Data Augmentation Method for Robust Hand Gesture Recognition","year":2023,"lang":"en","type":"article","venue":"","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wearable computer; Computer science; Gesture recognition; Gesture; Circumference; Artificial intelligence; Computer vision; Speech recognition; Pattern recognition (psychology); Embedded system; Mathematics","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":[0.0005651068,0.0005953611,0.0004749901,0.0003446126,0.0001212114,0.0004013615,0.0009621567,0.0005360073,0.004263683],"category_scores_gemma":[0.001055162,0.000297443,0.0003785928,0.0002966662,0.0002752999,0.0007363398,0.0007296845,0.0005960503,0.001515937],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001755556,"about_ca_system_score_gemma":0.0002860332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004454784,"about_ca_topic_score_gemma":0.001335879,"domain_scores_codex":[0.999579,0.00006473831,0.000029746,0.00009212873,0.0002110507,0.00002324333],"domain_scores_gemma":[0.9997283,0.00008452954,0.00003338135,0.00005967611,0.00007458938,0.00001955838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004484829,0.0001144826,0.00122417,0.0003340639,0.00008981574,0.000202071,0.00009781649,0.006306191,0.2184195,0.001685798,0.006791837,0.7642859],"study_design_scores_gemma":[0.00008543145,0.001208965,0.009353696,0.0001144837,0.0001153815,0.002452628,0.00008583111,0.4477,0.4586023,0.002128483,0.07797938,0.0001733375],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01585862,0.0005943242,0.9775981,0.0001334781,0.0001588262,0.0001048083,0.0002827783,0.003456902,0.001812137],"genre_scores_gemma":[0.2517337,0.0007512755,0.7304039,0.0005144762,0.00008427782,0.0002849684,0.000985606,0.0003750099,0.01486675],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004263683,"threshold_uncertainty_score":0.01426339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08030138218311554,"score_gpt":0.304376362872708,"score_spread":0.2240749806895925,"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."}}