{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T07:44:52Z","timestamp":1769067892746,"version":"3.49.0"},"reference-count":51,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2021,2,4]],"date-time":"2021-02-04T00:00:00Z","timestamp":1612396800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100014440","name":"Ministerio de Ciencia, Innovaci\u00f3n y Universidades","doi-asserted-by":"publisher","award":["PGC2018-095606-B-C21"],"award-info":[{"award-number":["PGC2018-095606-B-C21"]}],"id":[{"id":"10.13039\/100014440","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Simultaneous measurement of the kinematics of all hand segments is cumbersome due to sensor placement constraints, occlusions, and environmental disturbances. The aim of this study is to reduce the number of sensors required by using kinematic synergies, which are considered the basic building blocks underlying hand motions. Synergies were identified from the public KIN-MUS UJI database (22 subjects, 26 representative daily activities). Ten synergies per subject were extracted as the principal components explaining at least 95% of the total variance of the angles recorded across all tasks. The 220 resulting synergies were clustered, and candidate angles for estimating the remaining angles were obtained from these groups. Different combinations of candidates were tested and the one providing the lowest error was selected, its goodness being evaluated against kinematic data from another dataset (KINE-ADL BE-UJI). Consequently, the original 16 joint angles were reduced to eight: carpometacarpal flexion and abduction of thumb, metacarpophalangeal and interphalangeal flexion of thumb, proximal interphalangeal flexion of index and ring fingers, metacarpophalangeal flexion of ring finger, and palmar arch. Average estimation errors across joints were below 10% of the range of motion of each joint angle for all the activities. Across activities, errors ranged between 3.1% and 16.8%.<\/jats:p>","DOI":"10.3390\/s21041049","type":"journal-article","created":{"date-parts":[[2021,2,4]],"date-time":"2021-02-04T21:29:27Z","timestamp":1612474167000},"page":"1049","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":10,"title":["Synergy-Based Sensor Reduction for Recording the Whole Hand Kinematics"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7793-3309","authenticated-orcid":false,"given":"N\u00e9stor J.","family":"Jarque-Bou","sequence":"first","affiliation":[{"name":"Department of Mechanical Engineering and Construction, Universitat Jaume I, E12071 Castell\u00f3n, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8486-5113","authenticated-orcid":false,"given":"Joaqu\u00edn L.","family":"Sancho-Bru","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering and Construction, Universitat Jaume I, E12071 Castell\u00f3n, Spain"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9158-247X","authenticated-orcid":false,"given":"Margarita","family":"Vergara","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering and Construction, Universitat Jaume I, E12071 Castell\u00f3n, Spain"}]}],"member":"1968","published-online":{"date-parts":[[2021,2,4]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Faisal, A.I., Majumder, S., Mondal, T., Cowan, D., Naseh, S., and Deen, M.J. (2019). Monitoring methods of human body joints: State-of-the-art and research challenges. Sensors, 19.","DOI":"10.3390\/s19112629"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"190","DOI":"10.2174\/1874325001610010190","article-title":"Reliability and Validity of Electro-Goniometric Range of Motion Measurements in Patients with Hand and Wrist Limitations","volume":"10","author":"MacDermid","year":"2016","journal-title":"Open Orthop. J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"270","DOI":"10.1038\/s41597-019-0285-1","article-title":"A calibrated database of kinematics and EMG of the forearm and hand during activities of daily living","volume":"6","author":"Vergara","year":"2019","journal-title":"Sci. Data"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"167","DOI":"10.1038\/s41597-019-0175-6","article-title":"Human hand kinematic data during feeding and cooking tasks","volume":"6","author":"Vergara","year":"2019","journal-title":"Sci. Data"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Lemos, J.D., Hernandez, A.M., and Soto-Romero, G. (2017). An instrumented glove to assess manual dexterity in simulation-based neurosurgical education. Sensors, 17.","DOI":"10.3390\/s17050988"},{"key":"ref_6","unstructured":"Yang, X., Jung, K., Park, J., and You, H. (, January September). Development of a 25-DOF Hand Forward Kinematic Model Using Motion Data. Proceedings of the 2010 Fall Conference of Ergonomics Society of Korea, Suwon, Korea."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2776","DOI":"10.1016\/j.jbiomech.2008.06.024","article-title":"Systematic accuracy and precision analysis of video motion capturing systems--exemplified on the Vicon-460 system","volume":"41","author":"Windolf","year":"2008","journal-title":"J. Biomech."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"182","DOI":"10.1177\/0954411914522023","article-title":"Validity of a simple videogrammetric method to measure the movement of all hand segments for clinical purposes","volume":"228","author":"Vergara","year":"2014","journal-title":"Proc. Inst. Mech. Eng. Part H J. Eng. Med."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Menolotto, M., Komaris, D.S., Tedesco, S., O\u2019flynn, B., and Walsh, M. (2020). Motion capture technology in industrial applications: A systematic review. Sensors, 20.","DOI":"10.3390\/s20195687"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1186\/1743-0003-11-70","article-title":"Assessment of hand kinematics using inertial and magnetic sensors","volume":"11","author":"Kortier","year":"2014","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"24","DOI":"10.15665\/rp.v16i2.1587","article-title":"Human motion capture and analysis systems: A systematic review\/Sistemas de captura y an\u00e1lisis de movimiento cinem\u00e1tico humano: Una revisi\u00f3n sistem\u00e1tica","volume":"16","year":"2018","journal-title":"Prospectiva"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Rigoni, M., Gill, S., Babazadeh, S., Elsewaisy, O., Gillies, H., Nguyen, N., Pathirana, P.N., and Page, R. (2019). Assessment of shoulder range of motion using a wireless inertial motion capture device\u2014A validation study. Sensors, 19.","DOI":"10.3390\/s19081781"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1489","DOI":"10.3390\/s110201489","article-title":"Estimating three-dimensional orientation of human body parts by inertial\/magnetic sensing","volume":"11","author":"Sabatini","year":"2011","journal-title":"Sensors"},{"key":"ref_14","unstructured":"Norkin, C., and White, D. (2016). Measurement of Joint Motion: A Guide to Goniometry, F.A. Davis Company. [5th ed.]."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"764","DOI":"10.1177\/0954411919851302","article-title":"Assessment of hand function during activities of daily living using motion tracking cameras: A systematic review","volume":"233","author":"Reissner","year":"2019","journal-title":"Proc. Inst. Mech. Eng. Part H J. Eng. Med."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1080\/17461391.2018.1463397","article-title":"Accuracy of human motion capture systems for sport applications; state-of-the-art review","volume":"18","author":"Reijne","year":"2018","journal-title":"Eur. J. Sport Sci."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Fischer, G., Jermann, D., List, R., Reissner, L., and Calcagni, M. (2020). Development and application of a motion analysis protocol for the kinematic evaluation of basic and functional hand and finger movements using motion capture in a clinical setting-A repeatability study. Appl. Sci., 10.","DOI":"10.3390\/app10186436"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"542","DOI":"10.1016\/j.clinbiomech.2009.05.005","article-title":"Quantitative comparison of current models for trunk motion in human movement analysis","volume":"24","author":"Leardini","year":"2009","journal-title":"Clin. Biomech."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"1199","DOI":"10.1109\/TBME.2007.908087","article-title":"Validation and application of a computational model for wrist and hand movements using surface markers","volume":"55","author":"Metcalf","year":"2008","journal-title":"IEEE Trans. Biomed. Eng."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1080\/10803548.2015.1017960","article-title":"Quantitative comparison of marker attachment methods for hand motion analysis","volume":"21","author":"Lee","year":"2015","journal-title":"Int. J. Occup. Saf. Ergon."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Garcia-Rosas, R., Oetomo, D., Manzie, C., Tan, Y., and Choong, P. (2020). Task-space Synergies for Reaching using Upper-limb Prostheses. IEEE Trans. Neural Syst. Rehabil. Eng.","DOI":"10.1109\/TNSRE.2020.3036320"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"332","DOI":"10.1109\/7361.983473","article-title":"Inertial sensor technology trends","volume":"1","author":"Barbour","year":"2001","journal-title":"IEEE Sens. J."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"109512","DOI":"10.1016\/j.jbiomech.2019.109512","article-title":"Effect on manual skills of wearing instrumented gloves during manipulation","volume":"98","author":"Vergara","year":"2020","journal-title":"J. Biomech."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"2496","DOI":"10.1109\/TIM.2010.2057712","article-title":"A new hand-measurement method to simplify calibration in cyberglove-based virtual rehabilitation","volume":"59","author":"Zhou","year":"2010","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"587","DOI":"10.1080\/10255842.2016.1265950","article-title":"Across-subject calibration of an instrumented glove to measure hand movement for clinical purposes","volume":"20","author":"Vergara","year":"2017","journal-title":"Comput. Methods Biomech. Biomed. Eng."},{"key":"ref_26","unstructured":"Bernshte\u012dn, N.A. (1967). The Co-Ordination and Regulation of Movements, Pergamon Press."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"23","DOI":"10.3389\/fncom.2013.00023","article-title":"Neural bases of hand synergies","volume":"7","author":"Santello","year":"2013","journal-title":"Front. Comput. Neurosci."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2802","DOI":"10.1152\/jn.00480.2004","article-title":"Human finger independence: Limitations due to passive mechanical coupling versus active neuromuscular control","volume":"92","author":"Lang","year":"2004","journal-title":"J. Neurophysiol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"300","DOI":"10.1038\/nn1010","article-title":"Combinations of muscle synergies in the construction of a natural motor behavior","volume":"6","author":"Saltiel","year":"2003","journal-title":"Nat. Neurosci."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"21","DOI":"10.1007\/978-3-319-47313-0_2","article-title":"Synergies in Grasping","volume":"Volume 957","author":"Smeets","year":"2016","journal-title":"Advances in Experimental Medicine and Biology"},{"key":"ref_31","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_32","doi-asserted-by":"crossref","first-page":"113","DOI":"10.1186\/1743-0003-11-113","article-title":"Analysis of hand synergies in healthy subjects during bimanual manipulation of various objects","volume":"11","author":"Ribeiro","year":"2014","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1152\/jn.00435.2016","article-title":"On identifying kinematic and muscle synergies: A comparison of matrix factorization methods using experimental data from the healthy population","volume":"117","year":"2017","journal-title":"J. Neurophysiol."},{"key":"ref_34","unstructured":"Li, S., Chen, X., Sheng, X., and Zhu, X. (2013, January 3\u20137). Preliminary study on proportional and simultaneous estimation of hand posture using surface EMG based on synergy concept. Proceedings of the 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Osaka, Japan."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"1426","DOI":"10.1523\/JNEUROSCI.22-04-01426.2002","article-title":"Patterns of hand motion during grasping and the influence of sensory guidance","volume":"22","author":"Santello","year":"2002","journal-title":"J. Neurosci."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"10105","DOI":"10.1523\/JNEUROSCI.18-23-10105.1998","article-title":"Postural hand synergies for tool use","volume":"18","author":"Santello","year":"1998","journal-title":"J. Neurosci."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"41","DOI":"10.3389\/fnbot.2017.00041","article-title":"Postural hand synergies during environmental constraint exploitation","volume":"11","author":"Bianchi","year":"2017","journal-title":"Front. Neurorobot."},{"key":"ref_38","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_39","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1023\/A:1008812426305","article-title":"Flexibility and repeatability of finger movements during typing: Analysis of multiple degrees of freedom","volume":"4","author":"Soechting","year":"1997","journal-title":"J. Comput. Neurosci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"407","DOI":"10.1177\/0278364912474079","article-title":"Synergy-based hand pose sensing: Optimal glove design","volume":"32","author":"Bianchi","year":"2013","journal-title":"Int. J. Rob. Res."},{"key":"ref_41","doi-asserted-by":"crossref","unstructured":"Ciotti, S., Battaglia, E., Carbonaro, N., Bicchi, A., Tognetti, A., and Bianchi, M. (2016). A synergy-based optimally designed sensing glove for functional grasp recognition. Sensors, 16.","DOI":"10.3390\/s16060811"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.jht.2014.04.002","article-title":"An introductory study of common grasps used by adults during performance of activities of daily living","volume":"27","author":"Vergara","year":"2014","journal-title":"J. Hand Ther."},{"key":"ref_43","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_44","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_45","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_46","unstructured":"(2009). Multivariate Data Analysis, Prentice Hall. [7th ed.]."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1763","DOI":"10.1213\/ANE.0000000000002864","article-title":"Correlation coefficients: Appropriate use and interpretation","volume":"126","author":"Schober","year":"2018","journal-title":"Anesth. Analg."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2896","DOI":"10.1152\/jn.2001.86.6.2896","article-title":"Hand Synergies during Reach-to-Grasp","volume":"86","author":"Mason","year":"2001","journal-title":"J. Neurophysiol."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"8542","DOI":"10.1523\/JNEUROSCI.20-22-08542.2000","article-title":"Quantifying the Independence of Human Finger Movements: Comparisons of Digits, Hands, and Movement Frequencies","volume":"20","author":"Ha","year":"2000","journal-title":"J. Neurosci."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1007\/s00221-008-1355-3","article-title":"The statistics of natural hand movements","volume":"188","author":"Ingram","year":"2008","journal-title":"Exp. Brain Res."},{"key":"ref_51","first-page":"102","article-title":"Relevance of grasp types to assess functionality for personal autonomy","volume":"1","author":"Vergara","year":"2018","journal-title":"J. Hand Ther."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/4\/1049\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T05:19:52Z","timestamp":1760159992000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/4\/1049"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,2,4]]},"references-count":51,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2021,2]]}},"alternative-id":["s21041049"],"URL":"https:\/\/doi.org\/10.3390\/s21041049","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,2,4]]}}}