{"id":"W2294498689","doi":"10.1109/embc.2015.7319058","title":"A magnetometer-free indoor human localization based on loosely coupled IMU/UWB fusion","year":2015,"lang":"en","type":"article","venue":"","topic":"Indoor and Outdoor Localization Technologies","field":"Engineering","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Gyroscope; Magnetometer; Inertial measurement unit; Accelerometer; Kalman filter; Computer science; Compass; Extended Kalman filter; Computer vision; Artificial intelligence; Engineering; Physics; Magnetic field; Aerospace engineering","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":[0.0001854147,0.0002235168,0.0002022496,0.0003589808,0.00009080319,0.0000653123,0.0003380812,0.0002109654,0.0003317925],"category_scores_gemma":[0.0001483979,0.0002013566,0.00005424994,0.000544505,0.00005219656,0.0001293301,0.00006214491,0.0001470691,0.0001656389],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001414709,"about_ca_system_score_gemma":0.0000267746,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003717185,"about_ca_topic_score_gemma":0.00004723151,"domain_scores_codex":[0.9988258,0.00002249229,0.0002884709,0.0002196796,0.0003519976,0.0002915267],"domain_scores_gemma":[0.9991335,0.0000314409,0.0000361738,0.0005622114,0.000127516,0.0001091716],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000114628,0.0002649806,0.006692746,0.0002051744,0.00004456485,0.00004236838,0.0003991823,0.8822291,0.006494318,0.01150048,0.0834807,0.008531792],"study_design_scores_gemma":[0.001855743,0.0002901815,0.0003862876,0.00002983616,0.00001404515,0.000001713214,0.0001312099,0.9704053,0.02066826,0.00134933,0.004547201,0.0003208463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1137268,0.00009604153,0.8432112,0.0002229611,0.0005770386,0.0005203288,0.00001571625,0.004937771,0.03669222],"genre_scores_gemma":[0.997545,0.000006712722,0.001465896,0.000356016,0.0000584797,0.00003121814,0.00008072959,0.00005331663,0.0004026558],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8838182,"threshold_uncertainty_score":0.8211084,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952616695693611,"score_gpt":0.2300406335951685,"score_spread":0.2105144666382324,"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."}}