{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,30]],"date-time":"2026-04-30T22:25:45Z","timestamp":1777587945590,"version":"3.51.4"},"reference-count":40,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2019,12,21]],"date-time":"2019-12-21T00:00:00Z","timestamp":1576886400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2019,12,21]],"date-time":"2019-12-21T00:00:00Z","timestamp":1576886400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["AI & Soc"],"published-print":{"date-parts":[[2020,9]]},"DOI":"10.1007\/s00146-019-00925-8","type":"journal-article","created":{"date-parts":[[2019,12,21]],"date-time":"2019-12-21T11:02:21Z","timestamp":1576926141000},"page":"581-594","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":24,"title":["Hand rehabilitation assessment system using leap motion controller"],"prefix":"10.1007","volume":"35","author":[{"given":"Miri","family":"Weiss Cohen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Daniele","family":"Regazzoni","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,12,21]]},"reference":[{"key":"925_CR1","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4614-3223-4","volume-title":"Mining text data","author":"CC Aggarwal","year":"2012","unstructured":"Aggarwal CC, Zhai C (2012) Mining text data. Springer, Berlin"},{"key":"925_CR2","doi-asserted-by":"crossref","unstructured":"Aguilar-Lazcano\u00a0CA, Rechy-Ramirez\u00a0EJ, Hu\u00a0H et\u00a0al (2019) Interaction modalities used on serious games for upper limb rehabilitation: a systematic review. Games Health J","DOI":"10.1089\/g4h.2018.0129"},{"issue":"5","key":"925_CR3","doi-asserted-by":"publisher","first-page":"973","DOI":"10.1016\/j.apmr.2014.09.008","volume":"96","author":"KR Anderson","year":"2015","unstructured":"Anderson KR, Woodbury ML, Phillips K et al (2015) Virtual reality video games to promote movement recovery in stroke rehabilitation: a guide for clinicians. Arch Phys Med Rehabil 96(5):973\u2013976","journal-title":"Arch Phys Med Rehabil"},{"key":"925_CR4","doi-asserted-by":"crossref","unstructured":"Bamrungthai\u00a0P, Pleehachinda\u00a0W (2015) Development of a game-based system to support stroke rehabilitation using kinect device. In: Science and Technology (TICST), 2015 International Conference on; IEEE, p 323\u2013326","DOI":"10.1109\/TICST.2015.7369379"},{"key":"925_CR5","doi-asserted-by":"crossref","unstructured":"Bhattacharya\u00a0S, Czejdo\u00a0B, Perez\u00a0N (2012) Gesture classification with machine learning using kinectics sensor data. In: Emerging applications of information technology (EAIT), 2012 third international conference on; IEEE, pp 348\u2013351","DOI":"10.1109\/EAIT.2012.6407958"},{"key":"925_CR6","doi-asserted-by":"crossref","unstructured":"Butt\u00a0A, Rovini\u00a0E, Dolciotti\u00a0C, et\u00a0al (2017) Leap motion evaluation for assessment of upper limb motor skills in parkinson\u2019s disease. In: Rehabilitation robotics (ICORR), 2017 international conference on; IEEE, pp 116\u2013121","DOI":"10.1109\/ICORR.2017.8009232"},{"issue":"4","key":"925_CR7","doi-asserted-by":"publisher","first-page":"457","DOI":"10.1682\/JRRD.2015.04.0057","volume":"53","author":"E Chang","year":"2016","unstructured":"Chang E, Zhao X, Cramer SC et al (2016) Home-based hand rehabilitation after chronic stroke: Randomized, controlled single-blind trial comparing the musicglove with a conventional exercise program. J Rehabil Res Dev 53(4):457","journal-title":"J Rehabil Res Dev"},{"key":"925_CR8","doi-asserted-by":"crossref","unstructured":"Cohen\u00a0MW, Voldman\u00a0I, Regazzoni\u00a0D et\u00a0al (2018) Hand rehabilitation via gesture recognition using leap motion controller. In: 2018 11th International conference on human system interaction (HSI); IEEE, pp 404\u2013410","DOI":"10.1109\/HSI.2018.8431349"},{"key":"925_CR9","unstructured":"Colgan A (2014) How does the leap motion controller work? Leap Motion Blog, p 9. https:\/\/www.leapmotion.com"},{"issue":"1","key":"925_CR10","first-page":"27","volume":"10","author":"A Cronce","year":"2018","unstructured":"Cronce A, Gerald Fluet P, Patel J (2018) Home-based virtual rehabilitation for upper extremity functional recovery post-stroke. J Altern Med Res 10(1):27\u201335","journal-title":"J Altern Med Res"},{"key":"925_CR11","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.neucom.2015.08.112","volume":"195","author":"Z Deng","year":"2016","unstructured":"Deng Z, Zhu X, Cheng D et al (2016) Efficient knn classification algorithm for big data. Neurocomputing 195:143\u2013148","journal-title":"Neurocomputing"},{"issue":"3","key":"925_CR12","doi-asserted-by":"publisher","first-page":"178","DOI":"10.1016\/j.neuchi.2016.01.006","volume":"62","author":"L Di\u00a0Tommaso","year":"2016","unstructured":"Di\u00a0Tommaso L, Aubry S, Godard J et al (2016) A new human machine interface in neurosurgery: the leap motion (\u00ae). technical note regarding a new touchless interface. Neurochirurgie 62(3):178\u2013181","journal-title":"Neurochirurgie"},{"key":"925_CR13","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1016\/j.imavis.2016.05.007","volume":"52","author":"T D\u2019Orazio","year":"2016","unstructured":"D\u2019Orazio T, Marani R, Ren\u00f3 V et al (2016) Recent trends in gesture recognition: how depth data has improved classical approaches. Image Vis Comput 52:56\u201372","journal-title":"Image Vis Comput"},{"issue":"3","key":"925_CR14","doi-asserted-by":"publisher","first-page":"126","DOI":"10.1016\/j.jofri.2014.05.006","volume":"2","author":"L Ebert","year":"2014","unstructured":"Ebert L, Flach P, Thali M et al (2014) Out of touch-a plugin for controlling osirix with gestures using the leap controller. J Forensic Radiol Imaging 2(3):126\u2013128","journal-title":"J Forensic Radiol Imaging"},{"key":"925_CR15","doi-asserted-by":"publisher","first-page":"012060","DOI":"10.1088\/1742-6596\/705\/1\/012060","volume":"705","author":"A Estepa","year":"2016","unstructured":"Estepa A, Piriz SS, Albornoz E et al (2016) Development of a kinect-based exergaming system for motor rehabilitation in neurological disorders. J Phys Conf Ser 705:012060","journal-title":"J Phys Conf Ser"},{"issue":"2","key":"925_CR16","doi-asserted-by":"publisher","first-page":"3702","DOI":"10.3390\/s140203702","volume":"14","author":"J Guna","year":"2014","unstructured":"Guna J, Jakus G, Poga\u010dnik M et al (2014) An analysis of the precision and reliability of the leap motion sensor and its suitability for static and dynamic tracking. Sensors 14(2):3702\u20133720","journal-title":"Sensors"},{"key":"925_CR17","unstructured":"Hidalgo JCC, Bykbaev YR, Delgado JDA et al (2018) Serious game to improve fine motor skills using leap motion. In: 2018 Congreso Argentino de Ciencias de la Inform\u00e1tica y Desarrollos de Investigaci\u00f3n (CACIDI). IEEE, pp 1\u20135"},{"key":"925_CR18","first-page":"279","volume":"184","author":"HM Hondori","year":"2013","unstructured":"Hondori HM, Khademi M, Dodakian L et al (2013) A spatial augmented reality rehab system for post-stroke hand rehabilitation. MMVR 184:279\u2013285","journal-title":"MMVR"},{"key":"925_CR19","unstructured":"Huang\u00a0C (2011) Using sas to find the best k for k-nearest-neighbor classification. SAS programming for data mining applications"},{"key":"925_CR20","doi-asserted-by":"publisher","first-page":"171","DOI":"10.1016\/j.advengsoft.2014.07.005","volume":"76","author":"R Ibanez","year":"2014","unstructured":"Ibanez R, Soria \u00c1, Teyseyre A et al (2014) Easy gesture recognition for kinect. Adv Eng Softw 76:171\u2013180","journal-title":"Adv Eng Softw"},{"key":"925_CR21","first-page":"1","volume-title":"Handbook of research on human-computer interfaces, developments, and applications","author":"R Iba\u00f1ez","year":"2016","unstructured":"Iba\u00f1ez R, Soria A, Teyseyre AR et al (2016) A comparative study of machine learning techniques for gesture recognition using kinectics. Handbook of research on human-computer interfaces, developments, and applications. IGI Global, Pennsylvania, pp 1\u201322"},{"issue":"9778","key":"925_CR22","doi-asserted-by":"publisher","first-page":"1693","DOI":"10.1016\/S0140-6736(11)60325-5","volume":"377","author":"P Langhorne","year":"2011","unstructured":"Langhorne P, Bernhardt J, Kwakkel G (2011) Stroke rehabilitation. Lancet 377(9778):1693\u20131702","journal-title":"Lancet"},{"issue":"2","key":"925_CR23","doi-asserted-by":"publisher","first-page":"e20","DOI":"10.1161\/STROKEAHA.111.642439","volume":"43","author":"K Laver","year":"2012","unstructured":"Laver K, George S, Thomas S et al (2012) Virtual reality for stroke rehabilitation. Stroke 43(2):e20\u2013e21","journal-title":"Stroke"},{"key":"925_CR24","unstructured":"Li\u00a0WJ, Hsieh\u00a0CY, Lin\u00a0LF, et\u00a0al (2017) Hand gesture recognition for post-stroke rehabilitation using leap motion. In: Applied system innovation (ICASI), 2017 international conference on; IEEE, pp 386\u2013388"},{"key":"925_CR25","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1007\/978-1-59745-433-9_8","volume-title":"Stroke essentials for primary care","author":"E McDade","year":"2009","unstructured":"McDade E, Kittner S (2009) Ischemic stroke in young adults. Stroke essentials for primary care. Springer, Berlin, pp 123\u2013146"},{"key":"925_CR27","first-page":"32","volume":"17","author":"S Okazaki","year":"2017","unstructured":"Okazaki S, Muraoka Y, Suzuki R (2017) Validity and reliability of leap motion controller for assessing grasping and releasing finger movements. J Ergon Technol 17:32\u201342","journal-title":"J Ergon Technol"},{"issue":"3","key":"925_CR28","doi-asserted-by":"publisher","first-page":"834","DOI":"10.3390\/s18030834","volume":"18","author":"G Placidi","year":"2018","unstructured":"Placidi G, Cinque L, Polsinelli M et al (2018) Measurements by a leap-based virtual glove for the hand rehabilitation. Sensors 18(3):834","journal-title":"Sensors"},{"issue":"3","key":"925_CR29","doi-asserted-by":"publisher","first-page":"1104","DOI":"10.1109\/TII.2016.2550528","volume":"12","author":"P P\u0142awiak","year":"2016","unstructured":"P\u0142awiak P, So\u015bnicki T, Nied\u017awiecki M et al (2016) Hand body language gesture recognition based on signals from specialized glove and machine learning algorithms. IEEE Trans Ind Inf 12(3):1104\u20131113","journal-title":"IEEE Trans Ind Inf"},{"issue":"4","key":"925_CR30","doi-asserted-by":"publisher","first-page":"111","DOI":"10.6063\/motricidade.10(4).3341","volume":"10","author":"JE Pompeu","year":"2014","unstructured":"Pompeu JE, Alonso TH, Masson IB et al (2014) The effects of virtual reality on stroke rehabilitation: a systematic review. Motricidade 10(4):111\u2013122","journal-title":"Motricidade"},{"key":"925_CR31","doi-asserted-by":"crossref","unstructured":"Regazzoni\u00a0D, Vitali\u00a0A, Rizzi\u00a0C, et\u00a0al (2018) A method to analyse generic human motion with low-cost mocap technologies. In: ASME 2018 international design engineering technical conferences and computers and information in engineering conference; American Society of Mechanical Engineers Digital Collection","DOI":"10.1115\/DETC2018-86197"},{"issue":"5","key":"925_CR32","doi-asserted-by":"publisher","first-page":"1380","DOI":"10.1161\/STROKEAHA.110.605451","volume":"42","author":"G Saposnik","year":"2011","unstructured":"Saposnik G, Levin M, Group SORCSW et al (2011) Virtual reality in stroke rehabilitation: a meta-analysis and implications for clinicians. Stroke 42(5):1380\u20131386","journal-title":"Stroke"},{"key":"925_CR33","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1016\/j.compbiomed.2015.03.011","volume":"63","author":"JH Shin","year":"2015","unstructured":"Shin JH, Park SB, Jang SH (2015) Effects of game-based virtual reality on health-related quality of life in chronic stroke patients: a randomized, controlled study. Comput Biol Med 63:92\u201398","journal-title":"Comput Biol Med"},{"issue":"2","key":"925_CR34","doi-asserted-by":"publisher","first-page":"383","DOI":"10.1161\/01.STR.0000115937.94104.76","volume":"35","author":"RW Teasell","year":"2004","unstructured":"Teasell RW, Kalra L (2004) What\u2019s new in stroke rehabilitation. Stroke 35(2):383\u2013385","journal-title":"Stroke"},{"key":"925_CR35","volume-title":"Data mining and customer relationships. Building data mining applications for CRM","author":"K Thearling","year":"2000","unstructured":"Thearling K (2000) Data mining and customer relationships. Building data mining applications for CRM. McGraw Hill, New York, NY"},{"issue":"2","key":"925_CR36","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1007\/s10439-014-1218-y","volume":"43","author":"D Tsoupikova","year":"2015","unstructured":"Tsoupikova D, Stoykov NS, Corrigan M et al (2015) Virtual immersion for post-stroke hand rehabilitation therapy. Ann Biomed Eng 43(2):467\u2013477","journal-title":"Ann Biomed Eng"},{"issue":"5","key":"925_CR37","doi-asserted-by":"publisher","first-page":"991","DOI":"10.1109\/TBME.2015.2480881","volume":"63","author":"K Vamsikrishna","year":"2016","unstructured":"Vamsikrishna K, Dogra DP, Desarkar MS (2016) Computer-vision-assisted palm rehabilitation with supervised learning. IEEE Trans Biomed Eng 63(5):991\u20131001","journal-title":"IEEE Trans Biomed Eng"},{"issue":"5","key":"925_CR38","doi-asserted-by":"publisher","first-page":"6380","DOI":"10.3390\/s130506380","volume":"13","author":"F Weichert","year":"2013","unstructured":"Weichert F, Bachmann D, Rudak B et al (2013) Analysis of the accuracy and robustness of the leap motion controller. Sensors 13(5):6380\u20136393","journal-title":"Sensors"},{"issue":"6","key":"925_CR39","doi-asserted-by":"publisher","first-page":"e98","DOI":"10.1161\/STR.0000000000000098","volume":"47","author":"CJ Winstein","year":"2016","unstructured":"Winstein CJ, Stein J, Arena R et al (2016) Guidelines for adult stroke rehabilitation and recovery: a guideline for healthcare professionals from the american heart association\/american stroke association. Stroke 47(6):e98\u2013e169","journal-title":"Stroke"},{"issue":"1","key":"925_CR40","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1016\/j.burns.2018.08.001","volume":"45","author":"YT Wu","year":"2019","unstructured":"Wu YT, Chen KH, Ban SL et al (2019) Evaluation of leap motion control for hand rehabilitation in burn patients: an experience in the dust explosion disaster in formosa fun coast. Burns 45(1):157\u2013164","journal-title":"Burns"},{"issue":"4","key":"925_CR41","doi-asserted-by":"publisher","first-page":"504","DOI":"10.1108\/SR-10-2018-0270","volume":"39","author":"M Yahya","year":"2019","unstructured":"Yahya M, Shah J, Kadir K, Yusof Z, Khan S, Warsi A (2019) Motion capture sensing techniques used in human upper limb motion: a review. Sensor Rev 39(4):504\u2013511","journal-title":"Sensor Rev"}],"container-title":["AI & SOCIETY"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00146-019-00925-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00146-019-00925-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00146-019-00925-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,12,20]],"date-time":"2020-12-20T00:21:38Z","timestamp":1608423698000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00146-019-00925-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,12,21]]},"references-count":40,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["925"],"URL":"https:\/\/doi.org\/10.1007\/s00146-019-00925-8","relation":{},"ISSN":["0951-5666","1435-5655"],"issn-type":[{"value":"0951-5666","type":"print"},{"value":"1435-5655","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,12,21]]},"assertion":[{"value":"7 April 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 October 2019","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 December 2019","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}