{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T23:44:15Z","timestamp":1781307855374,"version":"3.54.1"},"reference-count":31,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T00:00:00Z","timestamp":1716249600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"University of Rijeka","award":["UNIRI-INOVA-1-22-10"],"award-info":[{"award-number":["UNIRI-INOVA-1-22-10"]}]},{"name":"University of Rijeka","award":["uniri-iskusni-tehnic-23-47"],"award-info":[{"award-number":["uniri-iskusni-tehnic-23-47"]}]},{"name":"University of Rijeka","award":["uniri-tehnic-18-32"],"award-info":[{"award-number":["uniri-tehnic-18-32"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Robotics"],"abstract":"<jats:p>Loss of hand functions, often manifesting in the form of weakness or spasticity from conditions like stroke or multiple sclerosis, poses challenges in performing activities of daily living (ADLs). The broad area of rehabilitation robotics provides the tools and knowledge necessary for implementing efficient restorative therapies. These therapies aim to improve hand functionality with minimal therapist intervention. However, the human hand evolved for various precision and power gripping tasks, with its intricate anatomy featuring a large number of degrees of freedom\u2014up to 31\u2014which hinder its modeling in many rehabilitation scenarios. In the process of designing prosthetic devices, instrumented gloves, and rehabilitation devices, there is a clear need to obtain simplified rehabilitation-oriented hand models without compromising their representativeness across the population. This is where the concept of kinematic reduction, focusing on specific grasps, becomes essential. Thus, the objective of this study is to uncover the intra-finger dependencies during finger flexion\/extension by analyzing a comprehensive database containing recorded trajectories for 23 different functional movements related to ADLs, involving 77 test subjects. The initial phase involves data wrangling, followed by correlation analysis aimed at selecting 116 dependency-movement relationships across all grasps. A regularized generalized linear model is then applied to select uncorrelated predictors, while a linear mixed-effect model, with reductions based on both predictor significance and effect size, is used for modeling the dependencies. As a final step, agglomerative clustering of models is performed to further facilitate flexibility in tradeoffs in hand model accuracy\/reduction, allowing the modeling of finger flexion extensions using 5\u201315 degrees of freedom only.<\/jats:p>","DOI":"10.3390\/robotics13060082","type":"journal-article","created":{"date-parts":[[2024,5,21]],"date-time":"2024-05-21T08:54:28Z","timestamp":1716281668000},"page":"82","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Reducing Hand Kinematics by Introducing Grasp-Oriented Intra-Finger Dependencies"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3833-4420","authenticated-orcid":false,"given":"Tomislav","family":"Bazina","sequence":"first","affiliation":[{"name":"University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia"},{"name":"University of Rijeka, Centre for Micro- and Nanosciences and Technologies, Radmile Matej\u010di\u0107 2, 51000 Rijeka, Croatia"},{"name":"University of Rijeka, Center for Artificial Intelligence and Cybersecurity, Radmile Matej\u010di\u0107 2, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0643-4577","authenticated-orcid":false,"given":"Goran","family":"Mau\u0161a","sequence":"additional","affiliation":[{"name":"University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia"},{"name":"University of Rijeka, Center for Artificial Intelligence and Cybersecurity, Radmile Matej\u010di\u0107 2, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1536-0132","authenticated-orcid":false,"given":"Sa\u0161a","family":"Zelenika","sequence":"additional","affiliation":[{"name":"University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia"},{"name":"University of Rijeka, Centre for Micro- and Nanosciences and Technologies, Radmile Matej\u010di\u0107 2, 51000 Rijeka, Croatia"},{"name":"University of Rijeka, Center for Artificial Intelligence and Cybersecurity, Radmile Matej\u010di\u0107 2, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0921-5548","authenticated-orcid":false,"given":"Ervin","family":"Kamenar","sequence":"additional","affiliation":[{"name":"University of Rijeka, Faculty of Engineering, Vukovarska 58, 51000 Rijeka, Croatia"},{"name":"University of Rijeka, Centre for Micro- and Nanosciences and Technologies, Radmile Matej\u010di\u0107 2, 51000 Rijeka, Croatia"},{"name":"University of Rijeka, Center for Artificial Intelligence and Cybersecurity, Radmile Matej\u010di\u0107 2, 51000 Rijeka, Croatia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,5,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"549","DOI":"10.1097\/WCO.0000000000000256","article-title":"Dose and timing in neurorehabilitation: Prescribing motor therapy after stroke","volume":"28","author":"Lang","year":"2015","journal-title":"Curr. Opin. Neurol."},{"key":"ref_2","unstructured":"Colombo, R., and Sanguineti, V. (2018). Rehabilitation Robotics: Technology and Application, Academic Press."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"777","DOI":"10.1080\/10255842.2020.1851367","article-title":"A new musculoskeletal AnyBody\u2122 detailed hand model","volume":"24","author":"Engelhardt","year":"2020","journal-title":"Comput. Methods Biomech. Biomed. Engin"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1038\/s41597-019-0349-2","article-title":"A large calibrated database of hand movements and grasps kinematics","volume":"7","author":"Atzori","year":"2020","journal-title":"Sci. Data"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"2647","DOI":"10.1109\/TCSVT.2021.3057992","article-title":"Survey on Mapping Human Hand Motion to Robotic Hands for Teleoperation","volume":"32","author":"Li","year":"2022","journal-title":"IEEE Trans. Circuits Syst. Video Technol."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1007\/s10439-005-3320-7","article-title":"A model of the upper extremity for simulating musculoskeletal surgery and analyzing neuromuscular control","volume":"33","author":"Holzbaur","year":"2005","journal-title":"Ann. Biomed. Eng."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1080\/10255842.2019.1588256","article-title":"A validated combined musculotendon path and muscle-joint kinematics model for the human hand","volume":"22","author":"Hu","year":"2019","journal-title":"Comput. Methods Biomech. Biomed. Engin"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1940","DOI":"10.1109\/TBME.2007.901024","article-title":"OpenSim: Open-Source Software to Create and Analyze Dynamic Simulations of Movement","volume":"54","author":"Delp","year":"2007","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1080\/10255840903208171","article-title":"Human hand descriptions and gesture recognition for object manipulation","volume":"13","author":"Cobos","year":"2010","journal-title":"Comput. Method. Biomec."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"553","DOI":"10.1007\/s11431-021-1944-y","article-title":"Synergistic control of soft robotic hands for human-like grasp postures","volume":"65","author":"Zhang","year":"2022","journal-title":"Sci. China Technol. Sci."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"3702","DOI":"10.1152\/jn.00546.2003","article-title":"Stereotypical Fingertip Trajectories During Grasp","volume":"90","author":"Kamper","year":"2003","journal-title":"J. Neurophysiol."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.apergo.2016.03.003","article-title":"Using kinematic reduction for studying grasping postures. An application to power and precision grasp of cylinders","volume":"56","author":"Vergara","year":"2016","journal-title":"Appl. Ergon."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1556","DOI":"10.1109\/TNSRE.2020.2998642","article-title":"Hand Kinematics Characterization While Performing Activities of Daily Living Through Kinematics Reduction","volume":"28","author":"Vergara","year":"2020","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"6116","DOI":"10.1038\/s41598-020-63092-7","article-title":"Sharing of hand kinematic synergies across subjects in daily living activities","volume":"10","author":"Vergara","year":"2020","journal-title":"Sci. Rep."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"616","DOI":"10.1038\/s41598-017-18776-y","article-title":"Evidence for sparse synergies in grasping actions","volume":"8","author":"Prevete","year":"2018","journal-title":"Sci. Rep."},{"key":"ref_16","unstructured":"(2024, March 26). Ninapro. Available online: https:\/\/ninapro.hevs.ch\/."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"63","DOI":"10.1186\/s12984-019-0536-6","article-title":"Kinematic synergies of hand grasps: A comprehensive study on a large publicly available dataset","volume":"16","author":"Scano","year":"2019","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"385","DOI":"10.21860\/medflum2022_284696","article-title":"Hand model with dependency constrained joints for applications in rehabilitation robotics","volume":"58","author":"Bazina","year":"2022","journal-title":"Med. Flum."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v106.i01","article-title":"Elastic Net Regularization Paths for All Generalized Linear Models","volume":"106","author":"Tay","year":"2023","journal-title":"J. Stat. Softw."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"1686","DOI":"10.21105\/joss.01686","article-title":"Welcome to the Tidyverse","volume":"4","author":"Wickham","year":"2019","journal-title":"J. Open Source Softw."},{"key":"ref_21","unstructured":"Luraschi, J., Kuo, K., and Ruiz, E. (2019). Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling, O\u2019Reilly Media."},{"key":"ref_22","unstructured":"(2024, April 02). GitHub. Available online: https:\/\/github.com\/tbazina\/kinematic-database."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"73","DOI":"10.1002\/widm.2","article-title":"Robust statistics for outlier detection","volume":"1","author":"Rousseeuw","year":"2011","journal-title":"Wires Data Min. Knowl."},{"key":"ref_24","first-page":"69","article-title":"Statistics corner: A guide to appropriate use of correlation coefficient in medical research","volume":"24","author":"Mukaka","year":"2012","journal-title":"Malawi Med. J."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.18637\/jss.v067.i01","article-title":"Fitting Linear Mixed-Effects Models Using lme4","volume":"67","author":"Bates","year":"2015","journal-title":"J. Stat. Softw."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"434","DOI":"10.3390\/biomedinformatics2030028","article-title":"Application of Standardized Regression Coefficient in Meta-Analysis","volume":"2","author":"Nieminen","year":"2022","journal-title":"BioMedInformatics"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"104092","DOI":"10.1016\/j.jml.2020.104092","article-title":"Best practice guidance for linear mixed-effects models in psychological science","volume":"112","author":"Meteyard","year":"2020","journal-title":"J. Mem. Lang."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1016\/j.jcm.2016.02.012","article-title":"A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research","volume":"15","author":"Koo","year":"2016","journal-title":"J. Chiropr. Med."},{"key":"ref_29","first-page":"587","article-title":"Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes","volume":"20","author":"Vergara","year":"2016","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"eabb0467","DOI":"10.1126\/scirobotics.abb0467","article-title":"The Hannes hand prosthesis replicates the key biological properties of the human hand","volume":"5","author":"Laffranchi","year":"2020","journal-title":"Sci. Robot."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"e4","DOI":"10.1017\/wtc.2021.3","article-title":"A soft, synergy-based robotic glove for grasping assistance","volume":"2","author":"Alicea","year":"2021","journal-title":"Wearable Technol."}],"container-title":["Robotics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2218-6581\/13\/6\/82\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T14:45:50Z","timestamp":1760107550000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2218-6581\/13\/6\/82"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,21]]},"references-count":31,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2024,6]]}},"alternative-id":["robotics13060082"],"URL":"https:\/\/doi.org\/10.3390\/robotics13060082","relation":{},"ISSN":["2218-6581"],"issn-type":[{"value":"2218-6581","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,5,21]]}}}