{"id":"W4390187312","doi":"10.1109/jsac.2023.3345381","title":"HeadTrack: Real-Time Human–Computer Interaction via Wireless Earphones","year":2023,"lang":"en","type":"article","venue":"IEEE Journal on Selected Areas in Communications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"National Key Research and Development Program of China; Shenzhen Science and Technology Innovation Program; Key Research and Development Program of Hunan Province of China; Basic and Applied Basic Research Foundation of Guangdong Province; Natural Science Foundation of Hunan Province; National Natural Science Foundation of China","keywords":"Computer science; Wireless; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003659497,0.0006069697,0.0003612894,0.0005092393,0.0001684329,0.000667297,0.0007757015,0.0007988418,0.008326308],"category_scores_gemma":[0.0009483013,0.0002211813,0.000231974,0.0004043408,0.0002285638,0.00114657,0.001164058,0.0003157682,0.002789355],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000158921,"about_ca_system_score_gemma":0.0002587913,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007438641,"about_ca_topic_score_gemma":0.0008858872,"domain_scores_codex":[0.9994618,0.00007895225,0.0000283644,0.0001058091,0.0002722727,0.00005286599],"domain_scores_gemma":[0.9997045,0.00009112035,0.00003749521,0.00004281577,0.00009902827,0.00002495115],"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":[0.0008501835,0.0001652293,0.003163898,0.0006438181,0.0001302393,0.0006403825,0.0004797801,0.004804122,0.3725971,0.003202576,0.02751162,0.5858111],"study_design_scores_gemma":[0.0005473353,0.00365086,0.0302217,0.0002486428,0.0004791165,0.006002652,0.0004768752,0.2355252,0.4348954,0.005247331,0.2822556,0.0004492384],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05149263,0.002039814,0.9168585,0.000293676,0.0004654732,0.0003593783,0.0007101915,0.01476396,0.01301632],"genre_scores_gemma":[0.7045271,0.002611308,0.2584295,0.001273412,0.0005999088,0.0007816686,0.001338601,0.0008367829,0.02960167],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008326308,"threshold_uncertainty_score":0.02785432,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05479049061598718,"score_gpt":0.3309793096014351,"score_spread":0.2761888189854479,"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."}}