{"id":"W3177026772","doi":"10.1016/j.mlwa.2021.100072","title":"Trends in human activity recognition with focus on machine learning and power requirements","year":2021,"lang":"en","type":"article","venue":"Machine Learning with Applications","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":67,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Activity recognition; Convolutional neural network; Data science; Field (mathematics); Deep learning; Artificial intelligence; Machine learning","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001908693,0.001160448,0.001038199,0.002929648,0.0003348333,0.00266402,0.001485478,0.00140107,0.005759864],"category_scores_gemma":[0.007553033,0.000430127,0.0007180978,0.005478269,0.0008381295,0.004860657,0.001168033,0.002642771,0.003320715],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001173577,"about_ca_system_score_gemma":0.0009867238,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00420884,"about_ca_topic_score_gemma":0.005047487,"domain_scores_codex":[0.9976485,0.0003397882,0.0001975385,0.0008563902,0.0008452728,0.0001124845],"domain_scores_gemma":[0.9938689,0.003030306,0.0004605759,0.0004624279,0.001985712,0.0001922264],"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":[0.0001573857,0.0001439459,0.01224285,0.002727661,0.00007448682,0.00009925209,0.0001665789,0.005469681,0.00320417,0.01349689,0.0502203,0.9119967],"study_design_scores_gemma":[0.00003969728,0.000533963,0.06350835,0.002534865,0.0002809073,0.002075698,0.001763936,0.1039265,0.01266591,0.05567311,0.7567633,0.0002336668],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.07687682,0.430238,0.3254659,0.03961235,0.006400056,0.0005328801,0.0133151,0.004195646,0.1033633],"genre_scores_gemma":[0.3705964,0.3880187,0.1632252,0.009620489,0.008836868,0.0007564914,0.02673824,0.0006725227,0.03153506],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.005759864,"threshold_uncertainty_score":0.01926869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747832761359099,"score_gpt":0.2885644445983348,"score_spread":0.2610861169847438,"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."}}