{"id":"W7084605510","doi":"10.1109/lsens.2025.3617490","title":"In-Home Human Activity Recognition via Kinematics-Focused Multi-Modal Sensor Fusion and Spatio-temporal Neural Architecture","year":2025,"lang":"en","type":"article","venue":"IEEE Sensors Letters","topic":"Bacterial Genetics and Biotechnology","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Activity recognition; Sensor fusion; Convolutional neural network; Artificial neural network; Deep learning; Pattern recognition (psychology)","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001016609,0.0002306919,0.0002284374,0.0001808838,0.00009248778,0.00003170757,0.0001146888,0.0003259991,0.000008501915],"category_scores_gemma":[0.0000219475,0.0002236095,0.00006898411,0.0001397026,0.0001327978,0.000005017043,0.00008260176,0.000243147,0.000003397655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001900211,"about_ca_system_score_gemma":0.00001345584,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000118813,"about_ca_topic_score_gemma":0.0003508698,"domain_scores_codex":[0.9988255,0.0001168722,0.0002359811,0.0004526888,0.00008083387,0.0002881099],"domain_scores_gemma":[0.9995253,0.00001375089,0.0000975561,0.0002795638,0.00003325544,0.00005058348],"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":[0.0001469246,0.00006448827,0.0009637279,0.00004399212,0.00002475683,0.00001610445,0.00003637351,0.0001124758,0.9930608,0.000001075548,0.0002636561,0.005265606],"study_design_scores_gemma":[0.001765563,0.0002021767,0.01461891,0.00003663906,0.00002680947,0.000028008,0.00001417834,0.001343967,0.9801896,0.0001006339,0.001297556,0.0003759353],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934507,0.00002356519,0.001288843,0.004421869,0.0004270784,0.0003183535,0.00003154773,0.00002318683,0.0000148631],"genre_scores_gemma":[0.995639,0.00001919583,0.002733064,0.00117009,0.0001749381,0.0000117195,0.0000990073,0.00002141274,0.0001315404],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01365518,"threshold_uncertainty_score":0.9118533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01115414723915734,"score_gpt":0.2430633848587274,"score_spread":0.2319092376195701,"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."}}