{"id":"W4413226057","doi":"10.18280/isi.300620","title":"Enhancing Human Motion Recognition Through Multi-Sensor Data Fusion and Deep Learning for Smart Decision Support Systems","year":2025,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Robotics and Automated Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Sensor fusion; Artificial intelligence; Computer science; Human motion; Motion (physics); Decision support system; Activity recognition; Motion capture; Machine learning; Computer vision","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007087069,0.0002164392,0.0002888537,0.0002595376,0.0004895235,0.0004268257,0.0001679704,0.0001993523,0.000006053486],"category_scores_gemma":[0.0002712297,0.0002221479,0.00004104842,0.0002523239,0.00003367163,0.002540347,0.00009051803,0.0001506473,0.00003156394],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001901626,"about_ca_system_score_gemma":0.00002053638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007965242,"about_ca_topic_score_gemma":0.00003177096,"domain_scores_codex":[0.9984216,0.00004612199,0.0008775137,0.0001967865,0.000171423,0.000286546],"domain_scores_gemma":[0.9990973,0.0001240493,0.0001955782,0.0003149201,0.0002209041,0.0000472001],"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":[0.00008826074,0.00006869667,0.002017285,0.01221442,0.0003038984,0.000004605512,0.01101332,0.2380848,0.02490533,0.001128154,0.00194714,0.7082241],"study_design_scores_gemma":[0.0008861579,0.00006015141,0.00145103,0.001162095,0.00005052478,0.00002180204,0.002137905,0.9859354,0.002147249,0.0003896442,0.005470179,0.0002877998],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1061137,0.0003638598,0.8898275,0.000004743382,0.001054337,0.0007849961,0.00004854035,0.0005120847,0.001290206],"genre_scores_gemma":[0.9834641,0.0001638685,0.01392996,0.00001921671,0.00007132701,0.0000925948,0.002149478,0.00002760029,0.0000819148],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8773503,"threshold_uncertainty_score":0.9058928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03337140747320104,"score_gpt":0.2695999271808204,"score_spread":0.2362285197076194,"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."}}