{"id":"W238957346","doi":"10.4018/978-1-61692-004-3.ch005","title":"Methods for Improving Foot Displacement Measurements Calculated from Inertial Sensors","year":2010,"lang":"en","type":"book-chapter","venue":"Advances in bioinformatics and biomedical engineering book series","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Accelerometer; Gyroscope; Inertial measurement unit; Displacement (psychology); Inertial frame of reference; Fast Fourier transform; Context (archaeology); Engineering; Frequency domain; Computer science; Angular displacement; Gait; Simulation; Acoustics; Physics; Artificial intelligence; Computer vision; Algorithm; Aerospace engineering; Geography","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":[0.0007085994,0.0004096398,0.0006108186,0.000202982,0.0002288067,0.00002286383,0.0001647773,0.000788115,0.00003685397],"category_scores_gemma":[0.000211563,0.0003425399,0.0001003363,0.00004593165,0.0001705512,0.0005407172,0.0001578843,0.0009118718,0.000008255337],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001174796,"about_ca_system_score_gemma":0.0001015483,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002545782,"about_ca_topic_score_gemma":0.00005500453,"domain_scores_codex":[0.9977873,0.00002566281,0.001132702,0.0002720291,0.0002958736,0.0004864495],"domain_scores_gemma":[0.9987409,0.0003115288,0.0004099361,0.0002451018,0.00009335244,0.0001992207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001664972,0.0004861276,0.0004554432,0.03656461,0.001293981,0.00002578514,0.009884998,0.0001215836,0.1247664,0.06551567,0.001004796,0.7582157],"study_design_scores_gemma":[0.001689591,0.0001964893,0.0002438721,0.001498962,0.000101732,0.000002330353,0.0001178952,0.02128152,0.00007257833,0.001642617,0.9725795,0.0005729163],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007352066,0.05465753,0.8159133,0.00159298,0.03025871,0.0151231,0.00313183,0.001557219,0.07041331],"genre_scores_gemma":[0.002399037,0.01740825,0.9177021,0.0008634522,0.00210673,0.0007167046,0.003334352,0.0003067142,0.0551627],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9715747,"threshold_uncertainty_score":0.9999027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965050901787439,"score_gpt":0.3427826534523317,"score_spread":0.3231321444344573,"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."}}