{"id":"W4400036965","doi":"10.1145/3652037.3652041","title":"Fine-Grained Human Activity Recognition in Smart Homes Through Photoplethysmography-Based Hand Gesture Detection","year":2024,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Photoplethysmogram; Computer science; Gesture; Gesture recognition; Artificial intelligence; Computer vision; Activity recognition; Speech recognition; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005099428,0.0002811988,0.0003090392,0.0005713296,0.0002202431,0.000753077,0.0003270216,0.0001958262,0.00009097595],"category_scores_gemma":[0.00005318668,0.0002661326,0.0002187393,0.001677466,0.00007595545,0.001609885,0.00008423844,0.0004172253,0.0001214407],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001307659,"about_ca_system_score_gemma":0.00009850282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00185611,"about_ca_topic_score_gemma":0.01331604,"domain_scores_codex":[0.9978734,0.0002822656,0.0003173813,0.0008028807,0.0003673404,0.0003567515],"domain_scores_gemma":[0.9988909,0.0003892038,0.00008895156,0.000437574,0.0001196159,0.00007376239],"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":[0.00005383008,0.0004153175,0.002028908,0.000325465,0.00009553289,0.0001294179,0.001563441,0.00001161328,0.2485543,0.0004095711,0.0008327676,0.7455798],"study_design_scores_gemma":[0.002720566,0.0006528777,0.04604457,0.0008837539,0.0000504823,0.0001133896,0.0001377971,0.03689463,0.8812141,0.01753308,0.01223553,0.001519204],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5943338,0.0001252599,0.4008983,0.0008855095,0.0007758953,0.0005164302,0.00001315812,0.0007837779,0.001667834],"genre_scores_gemma":[0.9982297,0.000004074351,0.001018681,0.0001810892,0.0001085209,0.00020243,0.00002094627,0.00002362028,0.0002108865],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7440606,"threshold_uncertainty_score":0.9999791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03423877870552629,"score_gpt":0.2754903110479702,"score_spread":0.241251532342444,"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."}}