{"id":"W4285389684","doi":"10.3389/fdgth.2022.921506","title":"Wearable Sensor Systems for Fall Risk Assessment: A Review","year":2022,"lang":"en","type":"review","venue":"Frontiers in Digital Health","topic":"Balance, Gait, and Falls Prevention","field":"Health Professions","cited_by":149,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada","keywords":"Wearable computer; Inertial measurement unit; Accelerometer; Gyroscope; Computer science; Center of pressure (fluid mechanics); Gait; Cadence; Units of measurement; Gait analysis; Wearable technology; Motion capture; Simulation; Physical medicine and rehabilitation; Engineering; Artificial intelligence; Motion (physics); Medicine; Embedded system","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":[0.00132416,0.001418873,0.001747921,0.003078503,0.0003497317,0.001443472,0.001566892,0.001645562,0.004186871],"category_scores_gemma":[0.002516877,0.0005984862,0.001141839,0.003819408,0.0005204692,0.002809418,0.0009574084,0.001302326,0.002865516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00038067,"about_ca_system_score_gemma":0.001041713,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00108749,"about_ca_topic_score_gemma":0.000930446,"domain_scores_codex":[0.9990809,0.0001313648,0.000167644,0.000158482,0.0004148707,0.00004674958],"domain_scores_gemma":[0.9983499,0.0008599929,0.0001625664,0.00005122554,0.0005342413,0.00004203552],"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":[0.00008465428,0.00009364478,0.0004016148,0.02528687,0.0001131311,0.0001629176,0.00008823125,0.0005498629,0.003400609,0.00263887,0.0189338,0.9482459],"study_design_scores_gemma":[0.00002021593,0.000486353,0.002244844,0.01120484,0.0003909797,0.001786084,0.0001915424,0.001246248,0.002715346,0.002913606,0.9766957,0.0001043635],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0003822938,0.9947025,0.002384859,0.0002816,0.0005262843,0.00003611861,0.00006299654,0.00004884943,0.001574332],"genre_scores_gemma":[0.001848815,0.9937052,0.002598012,0.0002355338,0.0003719845,0.00004652492,0.0001272223,0.000009439399,0.001057198],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.004186871,"threshold_uncertainty_score":0.0140065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06502698500957908,"score_gpt":0.4293457519908396,"score_spread":0.3643187669812605,"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."}}