{"id":"W3141201723","doi":"10.1109/tim.2021.3069834","title":"An RFID-Based Assistive Glove to Help the Visually Impaired","year":2021,"lang":"en","type":"article","venue":"IEEE Transactions on Instrumentation and Measurement","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Iran National Science Foundation","keywords":"Human–computer interaction; Wearable computer; Computer science; Assistive technology; Perception; Radio-frequency identification; Wired glove; Identification (biology); Blindness; Wearable technology; Assistive device; Computer vision; Sonification; Sensory substitution; Artificial intelligence; Embedded system; Physical medicine and rehabilitation; Virtual reality; Psychology; Computer security","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004599754,0.0005639929,0.000359025,0.0003301143,0.0001622923,0.0003158666,0.0006850567,0.0007168538,0.00373283],"category_scores_gemma":[0.000919346,0.0001613128,0.0003407143,0.0001469733,0.0001679611,0.0005540652,0.0006856779,0.000239134,0.001635417],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007817385,"about_ca_system_score_gemma":0.0001710291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001666965,"about_ca_topic_score_gemma":0.0003010911,"domain_scores_codex":[0.9997428,0.00006772653,0.00003027335,0.00006211131,0.00007354689,0.00002357722],"domain_scores_gemma":[0.9996946,0.00009442863,0.00003710405,0.00005124115,0.0001000646,0.00002258726],"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":[0.0009548109,0.0004611413,0.004348925,0.001956465,0.0001039621,0.0007213639,0.0007080843,0.0005163699,0.523253,0.0009516855,0.004440523,0.4615837],"study_design_scores_gemma":[0.000592723,0.01549236,0.1126341,0.001557975,0.0009506354,0.03922462,0.001447936,0.03396758,0.6604782,0.001916408,0.131265,0.0004724829],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5719448,0.00669896,0.404279,0.0005517941,0.0005968258,0.0008675817,0.001255004,0.00459791,0.009208097],"genre_scores_gemma":[0.8198912,0.001848616,0.1602162,0.0009166443,0.00007680906,0.0003785144,0.0005293592,0.00009956425,0.01604297],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00373283,"threshold_uncertainty_score":0.01248759,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0757067238498756,"score_gpt":0.3187147779343137,"score_spread":0.2430080540844381,"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."}}