{"id":"W2542742581","doi":"10.1109/iecon.2008.4758433","title":"A quaternion-based tilt angle correction method for a hand-held device using an inertial measurement unit","year":2008,"lang":"en","type":"article","venue":"","topic":"Inertial Sensor and Navigation","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University; University of Waterloo","funders":"","keywords":"Accelerometer; Inertial measurement unit; Tilt (camera); Euler angles; Acceleration; Tilt sensor; Orientation (vector space); Kalman filter; Pitch angle; Acoustics; Quaternion; Gyroscope; Control theory (sociology); Physics; Computer science; Optics; Engineering; Computer vision; Artificial intelligence; Mathematics; Geometry; Structural 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":[0.0002407477,0.000127521,0.0001270719,0.00008360641,0.0001696102,0.00002475552,0.00005229895,0.0000801463,0.00003658707],"category_scores_gemma":[0.0000384499,0.0001211026,0.00005456924,0.0001632261,0.00001173826,0.0001355508,0.000003854096,0.00007195921,0.00000736013],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001239238,"about_ca_system_score_gemma":0.00003289259,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001507291,"about_ca_topic_score_gemma":0.00061213,"domain_scores_codex":[0.9992266,0.00004581113,0.0001932046,0.0001421425,0.000203908,0.0001883629],"domain_scores_gemma":[0.999563,0.00003662381,0.00002568745,0.0001173262,0.0001918515,0.00006554237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001042436,0.00006946667,0.0003580656,0.00005277362,0.00002559417,0.000002069236,0.00032485,0.3751458,0.6156111,0.00001423087,0.0004578001,0.007834032],"study_design_scores_gemma":[0.00041171,0.00006322532,0.0002898972,0.00001741439,0.00001809765,0.000006501447,0.0000199166,0.6227612,0.3752637,0.000004922076,0.001030407,0.0001130547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.350419,0.00002506818,0.6484263,0.00001581053,0.0005108032,0.0002024836,0.00000253741,0.0001920964,0.0002059219],"genre_scores_gemma":[0.9774587,0.000001348267,0.02211139,0.00006719308,0.0002131483,0.00002376567,0.00002980528,0.00003298158,0.00006173489],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6270397,"threshold_uncertainty_score":0.493842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1108396150370708,"score_gpt":0.3058214452905247,"score_spread":0.1949818302534539,"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."}}