{"id":"W2201009198","doi":"10.3791/53004","title":"Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment","year":2015,"lang":"en","type":"article","venue":"Journal of Visualized Experiments","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ottawa Hospital; University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stairs; Activities of daily living; Sitting; Accelerometer; Set (abstract data type); Computer science; Physical medicine and rehabilitation; Artificial intelligence; Simulation; Medicine; Physical therapy; Engineering","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":[0.001020936,0.0004941428,0.0005348761,0.0004628155,0.0001298617,0.0004668839,0.0004705992,0.0005936733,0.001018771],"category_scores_gemma":[0.002171417,0.0001116358,0.0002177661,0.0002377309,0.0001245657,0.0003935131,0.000348634,0.0001521884,0.0005475878],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002429872,"about_ca_system_score_gemma":0.0002344074,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234244,"about_ca_topic_score_gemma":0.003076842,"domain_scores_codex":[0.9992015,0.0001966401,0.00008925267,0.0001823183,0.0002708488,0.00005946701],"domain_scores_gemma":[0.9990746,0.0002569091,0.00006309297,0.00005948781,0.0004665884,0.00007921786],"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":[0.005930847,0.00176737,0.07612719,0.001463967,0.0006312646,0.00119919,0.0006293834,0.01229392,0.4266536,0.0003492314,0.003998661,0.4689553],"study_design_scores_gemma":[0.0007434515,0.01997247,0.38199,0.0001352633,0.0006956384,0.003216141,0.0008458833,0.4319289,0.1541094,0.0002538785,0.005928655,0.0001803275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712803,0.0004229757,0.02572637,0.00008846322,0.00008366995,0.0003068346,0.0003620755,0.0007210245,0.001008268],"genre_scores_gemma":[0.9755239,0.0001791038,0.02230402,0.0001039324,0.00002650943,0.0001921804,0.0004911406,0.00001757464,0.001161682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00234244,"threshold_uncertainty_score":0.005399287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1690481781909731,"score_gpt":0.4301458472445212,"score_spread":0.261097669053548,"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."}}