{"id":"W2986336325","doi":"10.22215/etd/2017-11949","title":"Human Body Structure Calibration Using Wearable Inertial Sensors","year":2017,"lang":"en","type":"dissertation","venue":"","topic":"Hand Gesture Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Calibration; Computer science; Wearable computer; Accelerometer; Torso; Inertial measurement unit; Inertial frame of reference; Computer vision; Simulation; Process (computing); 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001320582,0.0002877901,0.0003443096,0.0002036039,0.0005423995,0.000919523,0.0007300159,0.0004687001,0.0001841941],"category_scores_gemma":[0.00003076435,0.0002505434,0.0001019041,0.0001204496,0.00001498354,0.0007797635,0.00003626879,0.0003027497,0.00003400472],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005132506,"about_ca_system_score_gemma":0.0001851333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004697063,"about_ca_topic_score_gemma":0.0007252225,"domain_scores_codex":[0.9982975,0.0001017884,0.0003687952,0.0005375056,0.0004384152,0.00025603],"domain_scores_gemma":[0.9984867,0.00001472385,0.0004533083,0.0007483301,0.0001985113,0.0000984334],"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":[0.00005014874,0.000180064,0.0006208309,0.001361253,0.000515994,0.0002140428,0.008115778,0.001507098,0.906096,0.02530753,0.01448747,0.04154374],"study_design_scores_gemma":[0.003621865,0.0004152484,0.01208366,0.003606512,0.0003806113,0.0004178479,0.00146252,0.3247744,0.6026768,0.01221919,0.03202416,0.006317144],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8221827,0.0003127015,0.03781752,0.0001888608,0.01095088,0.001358849,0.0000488865,0.0008476612,0.1262919],"genre_scores_gemma":[0.9444135,0.000003860298,0.002791055,0.00004942086,0.0008494229,0.000008688035,0.0003495174,0.0000359487,0.05149854],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3232673,"threshold_uncertainty_score":0.9999947,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02540322536467976,"score_gpt":0.3050237760499797,"score_spread":0.2796205506852999,"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."}}