{"doi":"10.1109/bibe50027.2020.00174","title":"A Hybrid Approach to Human Motion Enhancement under Kinematic and Anthropometric Constraints","abstract":"This paper proposes a novel approach to improve the quality of human motion data captured by a depth sensor. Depth-based motion capture (D-Mocap) data suffers significant errors due to noise, self-occlusion, interference, and other algorithmic limitations. We aim to smooth and correct 3D joint trajectories to be more kinematically admissible and anthropometrically stable. Our research synergistically integrates advanced nonlinear Kalman filters (KF) with Differential Evolution (DE) algorithms into one computational flow to take advantage of the kinematic and arthrometric constraints respectively. Specifically, we compare three nonlinear KFs in terms of their effectiveness and accuracy, including the Extended Kalman filter (EKF), the Unscented Kalman filter (UKF), and the Tobit Kalman filter (TKF). Two sets of motion capture datasets are used in this research to examine the proposed algorithms in both simulated and real-world data. Furthermore, we demonstrate significant improvements in six joint angles that are often used for clinical gait assessment.","journal":null,"year":2020,"id":122428,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":5,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.956,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2020-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":556444,"name":"Nate Lannan","orcid":"0000-0002-7255-0453","position":1,"is_corresponding":false},{"id":390456,"name":"Guoliang Fan","orcid":"0000-0002-8584-9040","position":2,"is_corresponding":false},{"id":556909,"name":"Jérôme Hausselle","orcid":null,"position":3,"is_corresponding":false},{"id":556445,"name":"Le Zhou","orcid":"0000-0002-8726-6797","position":0,"is_corresponding":true}],"reference_count":29,"raw_metadata":null,"created_at":"2026-07-18T23:14:51.076430Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}