{"id":"W4388623402","doi":"10.1109/ro-man57019.2023.10309323","title":"SmartBelt: A Wearable Microphone Array for Sound Source Localization with Haptic Feedback","year":2023,"lang":"en","type":"article","venue":"","topic":"Speech and Audio Processing","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut interdisciplinaire d'innovation technologique; Université de Montréal; Université de Sherbrooke","funders":"Nature","keywords":"Haptic technology; Microphone; Wearable computer; Computer science; Sound (geography); Calibration; Acoustic source localization; Microphone array; Computer vision; Acoustics; Simulation; Sound pressure; Mathematics; Telecommunications","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":[0.0001815822,0.0001111365,0.0001167234,0.00009532833,0.0002507132,0.0003264081,0.0003227927,0.00003957,0.00001669056],"category_scores_gemma":[0.00002483103,0.00008634396,0.00003325791,0.0008794671,0.00003679478,0.0003339506,0.00005044854,0.00004879759,0.0002964681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002244417,"about_ca_system_score_gemma":0.000070936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000181332,"about_ca_topic_score_gemma":0.00003193083,"domain_scores_codex":[0.9990176,0.00001157219,0.0001308859,0.0003290403,0.00016803,0.0003428511],"domain_scores_gemma":[0.9994606,0.00005878014,0.00005553241,0.0002579937,0.00009353588,0.00007356887],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001502427,0.0002369861,0.005062258,0.0005644799,0.0001470652,0.00003321321,0.005820185,0.02593705,0.802618,0.001079319,0.03414382,0.1242074],"study_design_scores_gemma":[0.00131991,0.0002525601,0.0001753955,0.0001278917,0.0000137416,0.00003890801,0.0003522117,0.0917796,0.8761926,0.009066964,0.02022914,0.0004510155],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01208744,0.0000706291,0.9849955,0.0009447309,0.0001108022,0.0001711318,5.464006e-7,0.0004617752,0.001157396],"genre_scores_gemma":[0.3627486,0.00001873749,0.61011,0.001557031,0.0001717516,0.00006468394,0.00001028798,0.00004460704,0.02527433],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.3748856,"threshold_uncertainty_score":0.3810596,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0152037888759431,"score_gpt":0.2298619599659669,"score_spread":0.2146581710900238,"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."}}