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Leap motion controlled video game-based therapy for upper limb rehabilitation in patients with Parkinson’s disease: a feasibility study
Open accessAbstract
BACKGROUND: Non-immersive video games are currently being used as technological rehabilitation tools for individuals with Parkinson's disease (PD). The aim of this feasibility study was to evaluate the effectiveness of the Leap Motion Controller® (LMC) system used with serious games designed for the upper limb (UL), as well as the levels of satisfaction and compliance among patients in mild-to-moderate stages of the disease. METHODS: A non-probabilistic sampling of non-consecutive cases was performed. 23 PD patients, in stages II-IV of the Hoehn & Yahr scale, were randomized into two groups: an experimental group (n = 12) who received treatment based on serious games designed by the research team using the LMC system for the UL, and a control group (n = 11) who received a specific intervention for the UL. Grip muscle strength, coordination, speed of movements, fine and gross UL dexterity, as well as satisfaction and compliance, were assessed in both groups pre-treatment and post-treatment. RESULTS: Within the experimental group, significant improvements were observed in all post-treatment assessments, except for Box and Blocks test for the less affected side. Clinical improvements were observed for all assessments in the control group. Statistical intergroup analysis showed significant improvements in coordination, speed of movements and fine motor dexterity scores on the more affected side of patients in the experimental group. CONCLUSIONS: The LMC system and the serious games designed may be a feasible rehabilitation tool for the improvement of coordination, speed of movements and fine UL dexterity in PD patients. Further studies are needed to confirm these preliminary findings.
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“LMC is a good alternative for serious games for the improvement of coordination, speed of movements, and fine upper-limb dexterity [43].”
From Serious Game for Fine Motor Control Rehabilitation for Children With Epileptic Encephalopathy: Development and Usability Study (2023) · cites this paper as [43]
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Cites
Assessment of client/patient satisfaction: development of a general scale
Larsen, D. L., Attkisson, C. C., Hargreaves, W. A., & Nguyen, T. D. (1979) · Evaluation and Program Planning · doi:10.1016/0149-7189(79)90094-6 · Cited by 2,887
Adult Norms for the Box and Block Test of Manual Dexterity
Mathiowetz, V., Volland, G., Kashman, N., & Weber, K. (1985) · The American Journal of Occupational Therapy · doi:10.5014/ajot.39.6.386 · Cited by 2,105
Desrosiers, J., Bravo, G., Hébert, R., Dutil, É., & Mercier, L. (1994) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/0003-9993(94)90130-9 · Cited by 522
Physiotherapy versus placebo or no intervention in Parkinson's disease
Tomlinson, C. L., Patel, S., Meek, C., Herd, C. P., Clarke, C. E., Stowe, R., Shah, L., Sackley, C. M., Deane, K. H., Wheatley, K., et al. (2013) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002817.pub4 · Cited by 441
van Kuijk, A. A., Bakker, C. D., Hendriks, J. C., Geurts, A. C., Stegeman, D. F., & Pasman, J. W. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-1 · Cited by 373
Pompeu, J. E., Mendes, F. A. D. S., Silva, K. G. D., Lobo, A. M., Oliveira, T. D. P., Zomignani, A. P., & Piemonte, M. E. P. (2012) · Physiotherapy · doi:10.1016/j.physio.2012.06.004 · Cited by 354
Physiotherapy intervention in Parkinson's disease: systematic review and meta-analysis
Tomlinson, C. L., Patel, S., Meek, C., Herd, C. P., Clarke, C. E., Stowe, R., Shah, L., Sackley, C., Deane, K. H. O., Wheatley, K., et al. (2012) · BMJ · doi:10.1136/bmj.e5004 · Cited by 341
The role of exergaming in Parkinson’s disease rehabilitation: a systematic review of the evidence
Barry, G., Galna, B., & Rochester, L. (2014) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-11-33 · Cited by 313
Motor Control Abnormalities in Parkinson's Disease
Mazzoni, P., Shabbott, B., & Cortes, J. C. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a009282 · Cited by 295
Physiotherapy versus placebo or no intervention in Parkinson's disease
Tomlinson, C. L., Patel, S., Meek, C., Clarke, C. E., Stowe, R. L., Shah, L., Sackley, C. M., Deane, K. H., Wheatley, K., & Ives, N. J. (2001) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd002817 · Cited by 198
Research works printed but not linked: 1
- Hironobu K, Masashi S. A noncontact tremor measurement system using leap motion. IEEA `17 proceeding of the 6th international conference on informatics, Enviroment, energy and applications; 2017. p. 76–9.
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All, A., Castellar, E. N., & LOOY, J. V. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104160 · Cited by 129
Cuesta‐Gómez, A., Sánchez-Herrera-Baeza, P., Oña, E. D., Martínez-Medina, A., Ortiz-Comino, C., Balaguer-Bernaldo-de-Quirós, C., Jardón, A., & Cano‐de‐la‐Cuerda, R. (2020) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-020-00718-x · Cited by 128
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Abbadessa, G., Brigo, F., Clerico, M., De Mercanti, S., Trojsi, F., Tedeschi, G., Bonavita, S., & Lavorgna, L. (2022) · Journal of Neurology · doi:10.1007/s00415-021-10608-4 · Cited by 116
Development of Virtual Reality Automotive Lab for Training in Engineering Students
Hernández-Chávez, M., Cortés-Caballero, J. M., Pérez-Martínez, Á. A., Hernández-Quintanar, L. F., Roa-Tort, K., Rivera-Fernández, J. D., & Fabila-Bustos, D. A. (2021) · Sustainability · doi:10.3390/su13179776 · Cited by 88
Sánchez-Herrera-Baeza, P., Cano‐de‐la‐Cuerda, R., Oña, E. D., Palacios‐Ceña, D., Pérez‐Corrales, J., Cuenca‐Zaldívar, J. N., Güeita‐Rodríguez, J., de Quirós, C. B.-B., Jardón, A., & Cuesta‐Gómez, A. (2020) · Sensors · doi:10.3390/s20082168 · Cited by 81
Self-citationRubio, Á. A., Cuesta‐Gómez, A., Mallo-López, A., Jardón, A., Oña, E. D., & Diego, I. M. A. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19063381 · Cited by 64
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Fong, K. N. K., Tang, Y. M., Sie, K., YU, A. K. H., Lo, C. C. W., & Yuko, W. T. (2021) · Virtual Reality · doi:10.1007/s10055-021-00583-6 · Cited by 62
Virtual reality applied to physiotherapy: a review of current knowledge
Brepohl, P. C. A., & Leite, H. (2022) · Virtual Reality · doi:10.1007/s10055-022-00654-2 · Cited by 62
Cortés‐Pérez, I., Zagalaz‐Anula, N., Montoro‐Cárdenas, D., Lomas‐Vega, R., Obrero‐Gaitán, E., & Osuna‐Pérez, M. C. (2021) · Sensors · doi:10.3390/s21062065 · Cited by 54
Monardo, G., Pavese, C., Giorgi, I., Godi, M., & Colombo, R. (2020) · Games for Health Journal · doi:10.1089/g4h.2020.0024 · Cited by 51
Dong, Y., Liu, X., Tang, M., Huo, H., Chen, D., Wu, Z., An, R., & Fan, Y. (2022) · Virtual Reality · doi:10.1007/s10055-022-00727-2 · Cited by 35
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Ganguly, A., Rashidi, G., & Mombaur, K. (2021) · Sensors · doi:10.3390/s21051750 · Cited by 33
Obrero‐Gaitán, E., Nieto-Escámez, F. A., Zagalaz‐Anula, N., & Cortés‐Pérez, I. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.590196 · Cited by 31
Astasio-Picado, Á., Moreno, P. C., Martín, B. G., Verdú-Garcés, L., & Zabala-Baños, M. D. C. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031534 · Cited by 28
Hashemi, Y., Taghizadeh, G., Azad, A., & Behzadipour, S. (2022) · Human Movement Science · doi:10.1016/j.humov.2022.102977 · Cited by 28
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Pirbabaei, E., Amiri, Z., Sekhavat, Y. A., & Goljaryan, S. (2023) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2023.103099 · Cited by 26
Odetunde, M. O., Binuyo, O. T., Maruf, F. A., Ayenowowon, S. O., Okonji, A. M., Odetunde, N. A., & Mbada, C. E. (2020) · International Journal of Telerehabilitation · doi:10.5195/ijt.2020.6321 · Cited by 25
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Saluja, A., Goyal, V., & Dhamija, R. K. (2022) · Annals of Indian Academy of Neurology · doi:10.4103/aian.aian_164_22 · Cited by 25
Koyama, T., Fujita, K., Watanabe, M., Kato, K., Sasaki, T., Yoshii, T., Nimura, A., Sugiura, Y., Saito, H., & Okawa, A. (2021) · Spine · doi:10.1097/brs.0000000000004243 · Cited by 22
Lam, W. W. T., & Fong, K. N. K. (2022) · Virtual Reality · doi:10.1007/s10055-022-00696-6 · Cited by 20
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Bostancı, H., Emir, A., Tarakçı, D., & Tarakçı, E. (2020) · Hand surgery & rehabilitation · doi:10.1016/j.hansur.2020.02.011 · Cited by 19
Gonçalves, R. S., de Souza, M. R. S. B., & Carbone, G. (2022) · Sensors · doi:10.3390/s22134880 · Cited by 19
Daliri, M., Moradi, A., Fatorehchy, S., Bakhshi, E., Moradi, E., & Sabbaghi, S. (2023) · Developmental Neurorehabilitation · doi:10.1080/17518423.2023.2203210 · Cited by 20
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de Oliveira, L. C., Mendes, L. C., Lopes, R. D. A., Carneiro, J. A. S., Cardoso, A., Júnior, E. A. L., & Andrade, A. D. O. (2021) · Research on Biomedical Engineering · doi:10.1007/s42600-021-00162-3 · Cited by 19
Cikajlo, I., Hukić, A., & Zajc, D. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.625225 · Cited by 18
Reyes-Guzmán, A. D. L., Lozano-Berrio, V., Alvarez-Rodríguez, M., López‐Dolado, E., Ceruelo-Abajo, S., Talavera-Díaz, F., & Gil-Agudo, A. M. (2021) · Neurorehabilitation · doi:10.3233/nre-201598 · Cited by 18
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Lahude, A. B., Corrêa, P. S., Cabeleira, M. E. P., & Cechetti, F. (2022) · Disability and Rehabilitation Assistive Technology · doi:10.1080/17483107.2021.2001060 · Cited by 16
Li, F., Wang, D., Ba, X., Liu, Z., & Zhang, M. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.1033289 · Cited by 16
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Garcia, G. J., Alepuz, A., Balastegui, G., Bernat, L., Mortes, J., Sanchez, S., Vera, E., Jara, C. A., Morell, V., Pomares, J., et al. (2022) · Biosensors · doi:10.3390/bios12070469 · Cited by 15
Siqueira, T. B. E., Parraça, J. A., & Sousa, J. P. (2024) · Health Science Reports · doi:10.1002/hsr2.1920 · Cited by 14
Li, J., Aulakh, N., Culum, I., & Roberts, A. (2024) · Journal of Parkinson s Disease · doi:10.3233/jpd-230266 · Cited by 16
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Turoń-Skrzypińska, A., Rotter, I., Przybyciński, J., Szylińska, A., Mińko, A., Ciechanowski, K., & Dutkiewicz, E. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12165358 · Cited by 14
Proud, E. L., Miller, K. J., Morris, M. E., McGinley, J. L., & Blennerhassett, J. M. (2023) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2023.11.009 · Cited by 14
Gardoni, A., Sarasso, E., Agosta, F., Filippi, M., & Corbetta, D. (2023) · Neurological Sciences · doi:10.1007/s10072-023-06752-6 · Cited by 12
Navarro‐López, V., Cano‐de‐la‐Cuerda, R., Fernández-González, P., Marcos-Antón, S., Blázquez-Fernández, A., Fernández-Cañas, M., & Vázquez, D. F. (2024) · Brain Sciences · doi:10.3390/brainsci14040407 · Cited by 12
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Shahhar, A. Z. M., Qasheesh, M., & Shaphe, M. A. (2022) · Journal of Lifestyle Medicine · doi:10.15280/jlm.2022.12.3.105 · Cited by 10
Pastore‐Wapp, M., Kaufmann, B. C., Nyffeler, T., Wapp, S., Bohlhalter, S., & Vanbellingen, T. (2023) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-023-01123-w · Cited by 10
Blanc, M., Roy, A.-L., Fraudet, B., Piette, P., LETOULLEC, E., Nicolas, B., Gallien, P., & Leblong, É. (2022) · JMIR Serious Games · doi:10.2196/24946 · Cited by 9
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Soomal, H. K., Poyade, M., Rea, P., & Paul, L. (2020) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-43961-3_5 · Cited by 9
Giroux, F., Boasen, J., Stagg, C. J., Sénécal, S., Coursaris, C. K., & Léger, P. (2021) · Lecture notes in information systems and organisation · doi:10.1007/978-3-030-88900-5_4 · Cited by 9
A Web-Based Platform for Hand Rehabilitation Assessment
Soumis, D. N., & Tselikas, N. D. (2025) · Big Data and Cognitive Computing · doi:10.3390/bdcc9030052 · Cited by 8
Bosch‐Barceló, P., Martínez-Navarro, O., Masbernat, M. A., Tersa-Miralles, C., Pakarinen, A., & Fernández‐Lago, H. (2025) · JMIR Serious Games · doi:10.2196/69433 · Cited by 8
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Vasu, D. T., Lim, M. H., Fong, W. H., Choong, P. K., & Chou, L. (2024) · Canadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · doi:10.1017/cjn.2024.53 · Cited by 8
Mendes, L. C., de Sá, Â. A. R., Marques, I. A., Morère, Y., & Andrade, A. D. O. (2023) · PeerJ Computer Science · doi:10.7717/peerj-cs.1267 · Cited by 8
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Yozevitch, R., Frenkel‐Toledo, S., Elion, O., Levy, L., Ambaw, A., & Holdengreber, E. (2023) · IEEE Sensors Journal · doi:10.1109/jsen.2023.3303892 · Cited by 6
Malwanage, K. T., Dissanayaka, T. D., Allen, N. E., & Paul, S. S. (2023) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2023.10.016 · Cited by 6
Development of 3D Exergame for Upper Limbs Rehabilitation Using Leap Motion Controller and Unity
Al‐Najjar, M., Abutabikh, A., Issa, A., Debeljak, M., & Cikajlo, I. (2020) · International Conference on Assistive and Rehabilitation Technologies (iCareTech) · doi:10.1109/icaretech49914.2020.00011 · Cited by 6
Video Games in Rehabilitation Programs for People with Parkinson’s Disease: A Systematic Review
Quirosa-Galán, I., García‐Bravo, S., Fabara-Rodríguez, A. C., Rodríguez-Pérez, M. P., Hoyas, E. H., Pérez‐Corrales, J., Fernández-Gómez, G., Donovan, M., & García‐Bravo, C. (2024) · Applied Sciences · doi:10.3390/app15010311 · Cited by 5
Wang, S., Liu, Y., Mei, X., & Li, J. (2025) · Entertainment Computing · doi:10.1016/j.entcom.2025.100962 · Cited by 5
Zhao, S., Jiang, H., Li, J., Yang, G., Zhang, D., Wei, X., & Feng, X. (2025) · General Hospital Psychiatry · doi:10.1016/j.genhosppsych.2025.11.009 · Cited by 5
Reyes-Guzmán, A. D. L., García, L. F., Alvarez-Rodríguez, M., Lozano-Berrio, V., Domingo-García, A. M., & Ceruelo-Abajo, S. (2021) · Rehabilitación · doi:10.1016/j.rh.2021.07.001 · Cited by 5
Urbina, J., Abarca, V. E., & Elías, D. A. (2024) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-024-01379-w · Cited by 5
Vidal, E., Castro-Gutierrez, E., Arisaca, R., Paz-Valderrama, A., & Albiol-Pérez, S. (2023) · JMIR Formative Research · doi:10.2196/50492 · Cited by 4
“LMC is a good alternative for serious games for the improvement of coordination, speed of movements, and fine upper-limb dexterity [43].”
BackgroundWee, Y., & Lee, O. (2023) · KSII Transactions on Internet and Information Systems · doi:10.3837/tiis.2023.04.010 · Cited by 4
Hadjadj, Z., Masmoudi, M., Meziane, A., & Zenati, N. (2022) · International Multi-Conference on Systems, Signals & Devices (SSD) · doi:10.1109/ssd54932.2022.9955760 · Cited by 4
Çetin, S. Y., Yardim, S., Doğan, M., Sütçü, G., Kara, Ö. K., & Ayan, A. (2025) · Games for Health Journal · doi:10.1089/g4h.2024.0164 · Cited by 3
Gracia-Ibáñez, V., Reyes-Guzmán, A. D. L., Vergara, M., Jarque-Bou, N. J., & Sancho-Bru, J. L. (2025) · Applied Sciences · doi:10.3390/app15115842 · Cited by 3
The Systematic Mapping of Serious Games for the Rehabilitation of Fine Motor Coordination
Pereira, R. A., da Luz, V. S. G., Riemer, Y., Matos, S. N., & Lopes, R. P. (2022) · Simpósio Brasileiro de Jogos e Entretenimento Digital (SBGames) · doi:10.5753/sbgames_estendido.2022.224988 · Cited by 3
Chen, Z., Yan, T., Wu, J., Liu, Y., Zhang, C., & Cui, T. (2023) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2023.1234216 · Cited by 3
eSail: a body tracking interactive game for elderly and patients with locomotor system problems
Shapoval, S., García-Zapirain, B., Zorrilla, A. M., & Mugueta-Aguinaga, I. (2020) · IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) · doi:10.1109/isspit51521.2020.9408980 · Cited by 3
Adiwangsa, M., Suominen, H., & Sweetser, P. (2025) · Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706599.3720214 · Cited by 2
Vibhuti, Kumar, N., Kataria, C., Sankhyan, N., Saini, L. K., & Mehta, A. (2025) · Virtual Reality · doi:10.1007/s10055-025-01152-x · Cited by 2
Tanioka, R., Onishi, K., Betriana, F., Bollos, L. A. C., Kwan, R. Y. C., Tang, A. C. Y., Zhao, Y., Mifune, Y., Mifune, K., & Tanioka, T. (2025) · Psychiatry International · doi:10.3390/psychiatryint6040136 · Cited by 2
Serious Game for Hand Therapy Assessment
Soumis, D. N., & Tselikas, N. D. (2024) · International Conference on Modern Circuits and Systems Technologies · doi:10.1109/mocast61810.2024.10615316 · Cited by 2
Pastore‐Wapp, M., Lehnick, D., Nef, T., Bohlhalter, S., & Vanbellingen, T. (2021) · Frontiers in Rehabilitation Sciences · doi:10.3389/fresc.2021.777981 · Cited by 2
Rehabilitation Technologies for Sensory-Motor-Cognitive Impairments
Giannoni, P. (2022) · Springer eBooks · doi:10.1007/978-3-030-85619-9_13 · Cited by 2
A Pilot and Feasibility Study of Virtual Reality as Gamified Monitoring Tool for Neurorehabilitation
Alonso, D. P., López-Arribas, A., Meléndez-Morales, G., Núñez-Vidal, E., Gómez-Rodellar, A., Vicente, J. M. F., & Gómez‐Vilda, P. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-06242-1_24 · Cited by 2
A serious game for cognitive and fine motor skill rehabilitation: a qualitative evaluation
Mariaca, D., Guzmán, D. E., & Prieto, J. L. (2022) · IEEE Central America and Panama Convention (CONCAPAN) · doi:10.1109/concapan48024.2022.9997622 · Cited by 2
Fong, K. N. K., Tang, Y. M., Sie, K., YU, A. K. H., Lo, C. C. W., & Yuko, W. T. (2020) · Research Square · doi:10.21203/rs.3.rs-55924/v2 · Cited by 2
MovementVR: An open-source tool for the study of motor control and learning in virtual realityPreprint
Rossi, C., Varghese, R., & Bastian, A. J. (2025) · PubMed · doi:10.48550/arxiv.2504.21696 · Cited by 2
Zade, R. J., Qureshi, M. I., Raghuveer, R., & Udhoji, S. P. (2025) · Cureus · doi:10.7759/cureus.78029 · Cited by 1
Hadjadj, Z., Masmoudi, M., Meziane, A., & Zenati, N. (2026) · Springer eBooks · doi:10.1007/978-981-95-3048-9_13 · Cited by 1
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Color-Based Visual Coordination Aids for Enhanced Gestural Interaction
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Design and evaluation of a smart toy for home therapy for children with cerebral palsy
Cisneros, T. P., Schouten, B. A. M., Salah, A. A., Schoorl, K., Nederhand, M. J., Hepping, A. M., Kröse, B., & Ludden, G. (2026) · Interacting with Computers · doi:10.1093/iwc/iwag013 · Cited by 1
Erdoğan, H. Ö., Bayram, G. A., Akbaşak, S. T., & Tarakçı, D. (2026) · JMIR Research Protocols · doi:10.2196/94705 · Cited by 1
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Baluz, R. A. R. S., Fontenele, J. E., Teles, A. S., Fialho, R., Moreira, R., Bastos, V. H., & Teixeira, S. S. (2020) · Research Society and Development · doi:10.33448/rsd-v9i11.9896 · Cited by 1
Rodrigues, S. M. A., Coelho, I. N., Costa, P. H. V., Lana, R. D. C., & Polese, J. C. (2021) · Journal of Bodywork and Movement Therapies · doi:10.1016/j.jbmt.2021.06.006 · Cited by 1
Acquisition of Relevant Hand-Wrist Features Using Leap Motion Controller: A Case of Study
RIVERO, C. R., Garre, C., Álvarez-Marquina, A., Gómez‐Vilda, P., Domínguez-Mateos, F., & Alonso, D. P. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-06242-1_23 · Cited by 1
Holzmann, C. S., & Hamdan, A. C. (2022) · Brazilian Journal of Development · doi:10.34117/bjdv8n7-143 · Cited by 1
Dynamic Difficulty Adjustment (DDA) on a Serious Game Used for Hand Rehabilitation
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Menek, B., Oktay, A. B., & Tarakçı, D. (2023) · Gümüşhane Üniversitesi Sağlık Bilimleri Dergisi · doi:10.37989/gumussagbil.1274979 · Cited by 1
Zhang, X., Zhao, S., & Han, T. (2023) · International Symposium on Computational Intelligence and Design · doi:10.1109/iscid59865.2023.00049 · Cited by 1
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Ilves, O., Korpi, H., Honkanen, S., & Aartolahti, E. M. (2022) · Jyväskylä University Digital Archive (University of Jyväskylä) · Cited by 1
García-Agúndez, A. (2020) · TUbilio (Technical University of Darmstadt) · doi:10.25534/tuprints-00014137 · Cited by 1
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Garcia, A. T., Kelbouscas, A. L. D. S., Guimarães, L. L. D. C., Silva, S. A. V. E., & Oliveira, V. M. (2020) · IEEE International Conference on Industrial Informatics (INDIN) · doi:10.1109/indin45582.2020.9442226
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Bajpai, S. (2020) · ERA: Education and Research Archive (University of Alberta) · doi:10.7939/r3-20j3-g127
Jiménez-González, F. C., & Torres-Ramírez, D. E. (2021) · Revista de Ingeniería Tecnológica · doi:10.35429/jten.2021.16.5.32.42
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Amrani, M. Z.-E.-A., Borst, C. W., & Achour, N. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4109680
Trindade, G. N., de Oliveira, R. C., Lopes, A. D. D. C., Kitzinger, K. P., da Silva, V. C. C., & Oliveira, G. F. D. S. (2022) · Revista Científica Multidisciplinar Núcleo do Conhecimento · doi:10.32749/nucleodoconhecimento.com.br/saude/jogos-virtuais
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Shirafuji, S., Kobayashi, M., & Ota, J. (2022) · IEEE Sensors Journal · doi:10.1109/jsen.2022.3200017
Metadata
- Authors
- Fernández-González, P., Carratalá-Tejada, M., Monge-Pereira, E., Collado-Vázquez, S., Sánchez-Herrera Baeza, P., Cuesta-Gómez, A., Oña-Simbaña, E. D., Jardón-Huete, A., Molina-Rueda, F., Balaguer-Bernaldo de Quirós, C., Miangolarra-Page, J. C., & Cano-de la Cuerda, R.
- Affiliations
- Universidad Rey Juan Carlos (ES)
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2019-11-06
- Volume
- 16
- Issue
- 1
- Pages
- 133-133
- ISSN
- 1743-0003 (ISSN-L)
- PMC
- PMC6836460
- OpenAlex
- W2989279296
- Cited by
- 116
- References
- 29
- Citations by year
- 2026: 11 · 2025: 15 · 2024: 13 · 2023: 22 · 2022: 24 · 2021: 17 · 2020: 14
- FWCI
- 9.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- creativecommons.org/licenses/by/4.0/ (tdm)
- creativecommons.org/licenses/by/4.0/ (vor)
- Locations
- Journal of NeuroEngineering and Rehabilitation (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- BURJC Digital (King Juan Carlos University) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- e-Archivo (Carlos III University of Madrid) (submittedVersion, cc-by)
- Hispana (submittedVersion, cc-by)
- NORA - Norwegian Open Research Archives (submittedVersion, cc-by)
- Funders
- Ministerio de Economía y Competitividad (DPI2013-47944-C4-1-R)
- Topics
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Keywords
- Parkinson's disease, upper limb rehabilitation, serious games, video game-based therapy, Leap Motion, motor coordination, movement speed, fine motor dexterity, grip strength, patient satisfaction, medication adherence, feasibility
- MeSH terms
- Aged, Feasibility Studies, Female, Humans, Leg, Male, Middle Aged, Motion, Parkinson Disease, Patient Compliance, Psychomotor Performance, Treatment Outcome, Patient Satisfaction, Hand Strength, Video Games, Upper Extremity, Muscle Strength, Muscle Strength Dynamometer
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
