{"id":"W4400114404","doi":"10.1109/i2mtc60896.2024.10560997","title":"Hierarchical Classifier for Improved Human Activity Recognition using Wearable Sensors","year":2024,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wearable computer; Activity recognition; Computer science; Classifier (UML); Artificial intelligence; Pattern recognition (psychology); Wearable technology; Embedded system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0005642253,0.0001923128,0.0002439044,0.0002339141,0.0002633778,0.0006891563,0.0002823237,0.0001430324,0.00008017485],"category_scores_gemma":[0.00006207114,0.0001800563,0.0001937498,0.0004069303,0.00004693638,0.001309362,0.0001304017,0.0002677859,0.0001224925],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001486468,"about_ca_system_score_gemma":0.0001371907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001834812,"about_ca_topic_score_gemma":0.00007676181,"domain_scores_codex":[0.9983348,0.0001496902,0.0002574615,0.0006875311,0.0001882781,0.000382234],"domain_scores_gemma":[0.9988279,0.0004618759,0.00006231409,0.0003779498,0.0001418805,0.0001281276],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002312871,0.000110138,0.00001530365,0.0001335415,0.00008440082,0.00001093621,0.0002757323,0.000005088198,0.270458,0.001352437,0.00115952,0.7263718],"study_design_scores_gemma":[0.0004994965,0.0001591996,0.0001309329,0.0001922779,0.00002678886,0.0001009789,0.00004529148,0.9371058,0.04244865,0.009502103,0.009331473,0.0004570164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2183618,0.00003273409,0.7755724,0.001021399,0.0008649022,0.0005666538,0.00002345067,0.0006804757,0.002876207],"genre_scores_gemma":[0.9807638,0.000002787397,0.01672827,0.000137781,0.0002980047,0.00007768888,0.000006796014,0.00002732374,0.001957546],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9371007,"threshold_uncertainty_score":0.7342483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1038448269874232,"score_gpt":0.329106358717736,"score_spread":0.2252615317303128,"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."}}