{"id":"W3199057864","doi":"10.1109/iaict52856.2021.9532513","title":"IoT device for Athlete's movements recognition using inertial measurement unit (IMU)","year":2021,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Moncton","funders":"","keywords":"Inertial measurement unit; Wearable computer; Units of measurement; Computer science; Data collection; Visualization; Athletes; Protocol (science); Internet of Things; Real-time computing; Simulation; Human–computer interaction; Artificial intelligence; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007286255,0.0001828916,0.0002315154,0.0001155003,0.0001921317,0.0002788764,0.0003308202,0.0000807574,0.0001061887],"category_scores_gemma":[0.0001836942,0.0001918747,0.0001262767,0.000471014,0.00001448609,0.0005063782,0.0002127718,0.0000937564,0.0001032607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001998784,"about_ca_system_score_gemma":0.0002964149,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001749338,"about_ca_topic_score_gemma":0.0004466907,"domain_scores_codex":[0.9979642,0.0001324653,0.0003971078,0.0005426542,0.0006296377,0.0003339049],"domain_scores_gemma":[0.9977348,0.0001347017,0.000153168,0.0004381609,0.001420197,0.0001189061],"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":[0.00004954141,0.000609263,0.0009528666,0.0002033862,0.0004595368,0.00004156815,0.0005593985,0.0001495249,0.4108939,0.0005656108,0.001029503,0.5844859],"study_design_scores_gemma":[0.004150217,0.0002264091,0.001253081,0.0005210103,0.0001148488,0.0001056147,0.0004372923,0.2407602,0.7155575,0.00242451,0.0332594,0.001189882],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1723116,0.0001012382,0.8234811,0.0004348414,0.0009687974,0.0005403951,0.00001698759,0.0002107033,0.001934427],"genre_scores_gemma":[0.9561374,0.000002895821,0.041761,0.001364407,0.0002451771,0.00009349527,0.00002236385,0.00002171145,0.0003516169],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7838258,"threshold_uncertainty_score":0.7824422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.249847642189155,"score_gpt":0.3195045913151134,"score_spread":0.06965694912595849,"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."}}