{"id":"W7011577615","doi":"","title":"Monitoring of human movements for fall detection and activities recognition in elderly care using wWireless sensor network: a survey","year":2010,"lang":"en","type":"other","venue":"IMT Institutional Repository (IMT School for Advanced Studies Lucca)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Elderly care; Elderly people; Data collection; Remote patient monitoring; Activity recognition","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":[0.0008609855,0.0003383742,0.0002385749,0.001560446,0.0001077657,0.0002995652,0.0003517656,0.0001979102,0.001338835],"category_scores_gemma":[0.002220611,0.00007703334,0.0002238923,0.001841707,0.00008729605,0.0005246474,0.0003000217,0.0001223293,0.0008100048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001437847,"about_ca_system_score_gemma":0.0002656086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007891522,"about_ca_topic_score_gemma":0.0131757,"domain_scores_codex":[0.9994606,0.0001071723,0.00008343536,0.0001071871,0.0001988863,0.00004279005],"domain_scores_gemma":[0.9985637,0.0004132066,0.0002529684,0.0001121232,0.0005732509,0.00008477308],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.0001896337,0.0002243188,0.4149402,0.0006109945,0.00008483097,0.0001252184,0.0005466272,0.000511912,0.004616202,0.0001687599,0.006481198,0.5715001],"study_design_scores_gemma":[0.000008487696,0.0004091263,0.9625828,0.0002382679,0.00009928163,0.0006373472,0.00118422,0.002455425,0.003536418,0.0001149786,0.02871461,0.00001905253],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.9248069,0.01498566,0.0149399,0.0008103066,0.00009088397,0.0003110871,0.01239172,0.0005120314,0.03115156],"genre_scores_gemma":[0.9294176,0.02490337,0.01243795,0.0003965259,0.00008118328,0.0002146013,0.01706286,0.00006723344,0.01541873],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.007891522,"threshold_uncertainty_score":0.01569122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06303533535963252,"score_gpt":0.3496739023126175,"score_spread":0.286638566952985,"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."}}