{"id":"W4313126982","doi":"10.1109/tcss.2022.3223251","title":"Emotion Recognition From Gait Analyses: Current Research and Future Directions","year":2022,"lang":"en","type":"article","venue":"IEEE Transactions on Computational Social Systems","topic":"Gait Recognition and Analysis","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Gait; Gait analysis; Computer science; Physical medicine and rehabilitation; Psychology; Artificial intelligence; Speech recognition; Cognitive psychology; Medicine","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":[0.006089378,0.001488089,0.002059291,0.002584874,0.0004842966,0.004658381,0.002815952,0.003507286,0.006243427],"category_scores_gemma":[0.01081274,0.0007784227,0.001520747,0.00301351,0.002478111,0.006579354,0.001484381,0.002253974,0.003147373],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00084076,"about_ca_system_score_gemma":0.001595538,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002070054,"about_ca_topic_score_gemma":0.001688079,"domain_scores_codex":[0.9982722,0.0005249991,0.0001796507,0.0004875912,0.0004314508,0.000104025],"domain_scores_gemma":[0.982008,0.01298724,0.0006782209,0.0007418465,0.003176338,0.0004083548],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001822994,0.0002881719,0.003450158,0.003509251,0.0001320189,0.00006816618,0.0002595914,0.001624893,0.00217476,0.007166143,0.01142382,0.9697207],"study_design_scores_gemma":[0.0002515381,0.002087815,0.04019223,0.01949961,0.001111172,0.003005539,0.007774292,0.1074824,0.01326544,0.1924396,0.6120043,0.0008860038],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.007035734,0.9094439,0.0584862,0.01557275,0.001365015,0.0001794708,0.0003446745,0.0006729217,0.006899535],"genre_scores_gemma":[0.06565785,0.8219494,0.09570303,0.005045007,0.005679376,0.0004448041,0.001218831,0.0001671374,0.004134507],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.006243427,"threshold_uncertainty_score":0.03220409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09900842489490211,"score_gpt":0.3418675336485952,"score_spread":0.2428591087536931,"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."}}