{"id":"W2048325557","doi":"10.1145/1631097.1631103","title":"Examining the feasibility of face gesture detection using a wheelchair mounted camera","year":2009,"lang":"en","type":"article","venue":"","topic":"Gaze Tracking and Assistive Technology","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"","keywords":"Wheelchair; Gesture; Computer science; Human–computer interaction; Gesture recognition; User interface; Face (sociological concept); Embedded system; Computer vision; Operating system","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":[0.0007070494,0.0003791992,0.0002823306,0.0004511328,0.0003139219,0.0005208731,0.0005112657,0.0009911394,0.003887853],"category_scores_gemma":[0.004060026,0.0002666103,0.0002440634,0.0001508611,0.0002370528,0.0007638577,0.0002643298,0.0002499371,0.0006653776],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002458901,"about_ca_system_score_gemma":0.0003439498,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003614047,"about_ca_topic_score_gemma":0.003403366,"domain_scores_codex":[0.9994266,0.0001554263,0.00003270891,0.0001267035,0.000172793,0.00008578855],"domain_scores_gemma":[0.9982156,0.0009347976,0.00008808707,0.00009885579,0.000605299,0.00005742905],"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":[0.001725711,0.0002700537,0.02449653,0.0004577675,0.00008121997,0.0008356693,0.0005253125,0.001678529,0.8169307,0.0005826558,0.0007502477,0.1516657],"study_design_scores_gemma":[0.0001567051,0.005397143,0.1283455,0.0001340777,0.0003391614,0.004070955,0.001174315,0.06063912,0.7926602,0.0002612466,0.006702944,0.0001186581],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8997566,0.0004825566,0.09445138,0.0002044713,0.0001033358,0.0002250016,0.00009563546,0.0006267857,0.004054248],"genre_scores_gemma":[0.9630828,0.0001926493,0.03446816,0.00006505366,0.00001701672,0.0000523022,0.0000655285,0.00001955864,0.002036917],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003887853,"threshold_uncertainty_score":0.01300621,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0620170677466031,"score_gpt":0.3033204966610936,"score_spread":0.2413034289144905,"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."}}