{"id":"W4408882981","doi":"10.23977/acss.2025.090114","title":"Research on the design and realization of interactive wearable blindness guidance system based on computer vision","year":2025,"lang":"en","type":"article","venue":"Advances in Computer Signals and Systems","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Realization (probability); Blindness; Wearable computer; Computer science; Human–computer interaction; Computer vision; Optometry; Artificial intelligence; Embedded system; Medicine; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002360262,0.0005093829,0.0004122822,0.0005746848,0.0003153617,0.0006332099,0.0008197969,0.0007630766,0.002756851],"category_scores_gemma":[0.0003905156,0.0002686454,0.0005368241,0.0003643793,0.0002180517,0.000892522,0.0003295508,0.0003408011,0.000737234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002814152,"about_ca_system_score_gemma":0.0005326658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001909522,"about_ca_topic_score_gemma":0.001429933,"domain_scores_codex":[0.9996582,0.00003898882,0.00001887575,0.0001081178,0.0001280073,0.00004790149],"domain_scores_gemma":[0.9998066,0.00002545717,0.00001713517,0.00001498172,0.0001136741,0.00002207572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002819986,0.0002384224,0.003747154,0.001123807,0.0001518262,0.0008317935,0.0008880146,0.005892697,0.4774813,0.009600561,0.005372289,0.4943902],"study_design_scores_gemma":[0.0002637332,0.004635001,0.02926105,0.0003632328,0.0008163602,0.008494455,0.000877154,0.3453821,0.4569457,0.005612128,0.1469674,0.0003817033],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05929801,0.0023818,0.9258475,0.0002158767,0.0001914044,0.0002062501,0.00007508953,0.002199328,0.009584756],"genre_scores_gemma":[0.6201038,0.003083003,0.3578259,0.0004267549,0.0001173967,0.00036577,0.0002394933,0.0001395945,0.01769828],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002756851,"threshold_uncertainty_score":0.009222627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04342589581592771,"score_gpt":0.3566864017351221,"score_spread":0.3132605059191944,"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."}}