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A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation

  • Patient Facing Systems
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Abstract

In recent years Serious Games have evolved substantially, solving problems in diverse areas. In particular, in Cognitive Rehabilitation, Serious Games assume a relevant role. Traditional cognitive therapies are often considered repetitive and discouraging for patients and Serious Games can be used to create more dynamic rehabilitation processes, holding patients’ attention throughout the process and motivating them during their road to recovery. This paper reviews Serious Games and user interfaces in rehabilitation area and details a Serious Games platform for Cognitive Rehabilitation that includes a set of features such as: natural and multimodal user interfaces and social features (competition, collaboration, and handicapping) which can contribute to augment the motivation of patients during the rehabilitation process. The web platform was tested with healthy subjects. Results of this preliminary evaluation show the motivation and the interest of the participants by playing the games.

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References

  1. Burke, J. W., McNeill, M. D. J., Charles, D. K., Morrow, P. J., Crosbie, J. H., and McDonough, S. M., Optimising engagement for stroke rehabilitation using serious games. Vis. Comput. 25:1085–1099, 2009.

    Article  Google Scholar 

  2. Burke, J. W., McNeill, M. D. J., Charles, D. K., Morrow, P. J., Crosbie, J. H., McDonough, S. M. Augmented reality games for upper-limb stroke rehabilitation. In: 2010 second international conference on games and virtual worlds for serious applications (VS-GAMES). pp. 75–78. 2010.

  3. Maclean, N., Pound, P., Wolfe, C., and Rudd, A., Qualitative analysis of stroke patients’ motivation for rehabilitation. Br. Med. J. 321:1051–1054, 2000.

    Article  CAS  Google Scholar 

  4. Krichevets, A. N., Sirotkina, E. B., Yevsevicheva, I. V., and Zeldin, L. M., Computer games as a means of movement rehabilitation. Disabil. Rehabil. 17:100–105, 1995.

    Article  CAS  PubMed  Google Scholar 

  5. Rego, P., Moreira, P. M., Reis, L. P., Serious games for rehabilitation: a survey and a classification towards a taxonomy. In: 5th Iberian conference on information systems and technologies. Vol. I. pp. 349–354. Santiago de Compostela, Spain, 2010.

  6. Rego, P. A., Moreira, P. M., Reis, L. P., New forms of interaction in serious games for rehabilitation. In: Cruz-Cunha, M. M., (Ed.), Handbook of research on serious games as educational, business, and research tools: development and design. IGI Global, 2012.

  7. Rego, P. A., Moreira, P. M., and Reis, L. P., A serious games framework for health rehabilitation. Int. J. Healthc. Inf. Syst. Inf. (IJHISI) 9:1–21, 2014.

    Article  Google Scholar 

  8. Rego, P. A., Moreira, P. M., Reis, L. P., Architecture for serious games in health rehabilitation. In: Rocha, Á., Correia, A. M., Tan, F. B., Stroetmann, K. A.. (Eds.), New perspectives in information systems and technologies, volume 2, Vol. 276. pp. 307–317. Springer International Publishing, 2014.

  9. Mendes, L., Dores, A. R., Rego, P. A., Moreira, P. M., Barbosa, F., Reis, L. P., Viana, J., Coelho, A., and Sousa, A., Virtual centre for the rehabilitation of road accident victims (VICERAVI). In: Rocha, A., CalvoManzano, J., Reis, L. P., and Cota, M. P. (Eds.), 7th Iberian conference on information systems and technologies (CISTI 2012), vol. I. AISTI, Madrid, pp. 817–822, 2012.

    Google Scholar 

  10. Rocha, R., Reis, L. P., Rego, P. A., Moreira, P. M., Serious games for cognitive rehabilitation: Forms of interaction and social dimension. In: 2015 10th Iberian conference on information systems and technologies (CISTI). pp. 1–6. 2015.

  11. Alankus, G., Lazar, A., May, M., Kelleher, C., Towards customizable games for stroke rehabilitation. In: Proceedings of the SIGCHI conference on human factors in computing systems. pp. 2113–2122. ACM, Atlanta, Georgia, USA, 2010.

  12. Ma, M., and Bechkoum, K., Serious games for movement therapy after stroke. IEEE international conference on systems, man and cybernetics. International Convention & Exhibition Center, Suntec Singapore, pp. 1872–1877, 2008.

    Google Scholar 

  13. Karray, F., Alemzadeh, M., Saleh, J. A., and Arab, M. N., Human-computer interaction: overview on state of the art. Int. J. Smart Sens. Intell. Syst. 1:137–159, 2008.

    Google Scholar 

  14. Oviatt, S., Multimodal interfaces. In: Julie, A. J., Andrew, S., (Eds.), The human-computer interaction handbook, pp. 286–304. L. Erlbaum Associates Inc, 2003.

  15. Rego, P. A., Moreira, P. M., Reis, L. P., Natural user interfaces in serious games for rehabilitation: a prototype and playability study. In: Rocha, Á., Gonçalves, R., Cota, M. P., Reis, L. P., (Eds.), First Iberian Workshop on Serious Games and Meaningful Play (SGaMePlay’2011) - Proceedings of the 6th iberian conference on information systems and technologies, Vol. I. pp. 229–232. Chaves, Portugal, 2011.

  16. Rego, P. A., Moreira, P. M., Reis, L. P., Natural and multimodal user interfaces in serious games for health rehabilitation. In: MASH’14: Multi-agent systems for healthcare / AAMAS’14 - 13th international conference on autonomous agents and multiagent systems. IFAMAAS, 2014.

  17. Jaimes, A., and Sebe, N., Multimodal human-computer interaction: a survey. Comput. Vis. Image Underst. 108:116–134, 2007.

    Article  Google Scholar 

  18. Jain, J., Lund, A., Wixon, D., The future of natural user interfaces. In: CHI ‘11 extended abstracts on human factors in computing systems. pp. 211–214. ACM, 1979527, 2011.

  19. Chai, J. Y., Hong, P., Zhou, M. X., A probabilistic approach to reference resolution in multimodal user interfaces. In: Proceedings of the 9th international conference on intelligent user interfaces. pp. 70–77. ACM, Funchal, Madeira, Portugal, 2004.

  20. Faria, B. M., Reis, L. P., Lau, N., Soares, J. C., and Vasconcelos, S., Patient classification and automatic configuration of an intelligent wheelchair. In: Filipe, J., and Fred, A. (Eds.), Agents and artificial intelligence, vol. 358. Springer, Berlin Heidelberg, pp. 268–282, 2013.

    Chapter  Google Scholar 

  21. Johnston, M., Bangalore, S., MATCHkiosk: a multimodal interactive city guide. In: Proceedings of the ACL 2004 on Interactive poster and demonstration sessions. pp. 33. Association for Computational Linguistics, 2004.

  22. Ibrahim, A., and Johansson, P., Multimodal dialogue systems: a case study for interactive TV. In: Carbonell, N., and Stephanidis, C. (Eds.), Universal access theoretical perspectives, practice, and experience: 7th ERCIM international workshop on user interfaces for all, Paris, France, October 24–25, 2002, revised papers. Springer Berlin Heidelberg, Berlin, pp. 209–218, 2003.

    Chapter  Google Scholar 

  23. Morikawa, C., and Lyons, M. J., Design and evaluation of vision-based head and face tracking interfaces for assistive input. In: Georgios, K. (Ed.), Assistive technologies and computer access for motor disabilities. IGI Global, Hershey, pp. 180–205, 2014.

    Chapter  Google Scholar 

  24. Ronzhin, A., Karpov, A., Assistive multimodal system based on speech recognition and head tracking. In: Proceedings of 13th European Signal Processing Conference. 2005

  25. Reis, L., Faria, B., Vasconcelos, S., Lau, N., Invited paper: multimodal interface for an intelligent wheelchair. In: Ferrier, J.-L., Gusikhin, O., Madani, K., Sasiadek, J., (Eds.), Informatics in control, automation and robotics, Vol. 325. pp. 1–34. Springer International Publishing, 2015

  26. Ogiela, M. R., and Hachaj, T., Natural user interfaces in medical image analysis: cognitive analysis of brain and carotid artery images. Springer International Publishing, Switzerland, 2014.

    Google Scholar 

  27. Steinberg, G., Natural user interfaces. In: ACM SIGCHI conference on human factors in computing systems. 2012.

  28. Faria, B. M., Reis, L. P., Lau, N., Moreira, A. P., Petry, M., Ferreira, L. M., Intelligent wheelchair driving: bridging the gap between virtual and real intelligent wheelchairs. In: Pereira, F., Machado, P., Costa, E., Cardoso, A., (Eds.), Progress in artificial intelligence. Vol. 9273, pp. 445–456. Springer International Publishing, 2015.

  29. Faria, B. M., Reis, L. P., Lau, N., A methodology for creating an adapted command language for driving an intelligent wheelchair. J. Intell. Robot. Syst. 80, 2015.

  30. Faria, B., Reis, L., and Lau, N., Adapted control methods for cerebral palsy users of an intelligent wheelchair. J. Intell. Robot. Syst. 77:299–312, 2015.

    Article  Google Scholar 

  31. Faria, B. M., Silva, A., Faias, J., Reis, L. P., Lau, N., Intelligent wheelchair driving: a comparative study of cerebral palsy adults with distinct boccia experience. In: Rocha, Á., Correia, A. M., Tan, F. B., Stroetmann, K. A., (Eds.), New perspectives in information systems and technologies, volume 2. Vol. 276. pp. 329–340. Springer International Publishing, 2014.

  32. Faria, B. M., Vasconcelos, S., and Reis, L. P., Evaluation of distinct input methods of an intelligent wheelchair in simulated and real environments: a performance and usability study. Assist. Technol. Off. J. RESNA 25:88–98, 2013.

    Article  Google Scholar 

  33. Faria, B., Reis, L., Teixeira, S., Faias, J., Lau, N., Intelligent wheelchair simulator for users’ training cerebral palsy children’s case study. In: 8th Iberian conference on information systems and technologies (CISTI). 2013.

  34. Faria, B. M., Vasconcelos, S., Reis, L. P., Lau, N., A methodology for creating intelligent wheelchair users’ profiles. In: ICAART 2012 – 4th International conference on agents and artificial intelligence. pp. 171–179. 2012.

  35. Moussa, M. B., Magnenat-Thalmann, N., Applying affect recognition in serious games: the playmancer project. In: Egges, A., Geraerts, R., Overmars, M., (Eds.), Motion in games. pp. 53–62. Springer, 2009.

  36. Gerling, K., Livingston, I., Nacke, L., Mandryk, R., Full-body motion-based game interaction for older adults. In: Proceedings of the SIGCHI conference on human factors in computing systems. pp. 1873–1882. ACM, Austin, Texas, USA, 2012.

  37. Chang, Y.-J., Chen, S.-F., and Chuang, A.-F., A gesture recognition system to transition autonomously through vocational tasks for individuals with cognitive impairments. Res. Dev. Disabil. 32:2064–2068, 2011.

    Article  PubMed  Google Scholar 

  38. Ciger, J., Herbeliny, B., Thalmannz, D., Evaluation of gaze tracking technology for social interaction in virtual environments. In: Proceedings of the 2nd workshop on modeling and motion capture techniques for virtual environments (CAPTECH04). 2004.

  39. Jacob, R. J. K., Karn, K. S., Eye tracking in human-computer interaction and usability research: ready to deliver the promises. The mind's eye: cognitive the mind's eye: cognitive and applied aspects of eye movement research. pp. 573–603. 2003.

  40. Mohamed, A. O., Silva, M. P. D., Courboulay, V., A history of eye gaze tracking. Tech. Rep. 2008.

  41. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., and Taylor, J. G., Emotion recognition in human-computer interaction. IEEE Signal Process. Mag. 18:32–80, 2001.

    Article  Google Scholar 

  42. Li, S. Z., and Jain, A. K., Handbook of face recognition. Springer Science & Business Media, Germany, 2011.

    Book  Google Scholar 

  43. Menache, A., Understanding motion capture for computer animation and video games. Morgan Kaufmann, 2000.

  44. Kirishima, T., Sato, K., and Chihara, K., Real-time gesture recognition by learning and selective control of visual interest points. IEEE Trans. Pattern Anal. Mach. Intell. 27:351–364, 2005.

    Article  PubMed  Google Scholar 

  45. Gavrila, D. M., The visual analysis of human movement: a survey. Comput. Vis. Image Underst. 73:82–98, 1999.

    Article  Google Scholar 

  46. Bradski, G. R., Computer vision face tracking for use in a perceptual user interface. In: Proceedings of the fourth IEEE workshop on applications of computer vision (WACV’98). 1998.

  47. Wachs, J. P., Kölsch, M., Stern, H., and Edan, Y., Vision-based hand-gesture applications. Commun. ACM 54:60–71, 2011.

    Article  Google Scholar 

  48. Microsoft kinect for Windows. Available: https://developer.microsoft.com/en-us/windows/kinect, 2016.

  49. Leap motion. Available: https://www.leapmotion.com/ 2016.

  50. Duchowski, A. T., A breadth-first survey of eye-tracking applications. Behav. Res. Methods Instrum. Comput. 34:455–470, 2002.

    Article  PubMed  Google Scholar 

  51. Duchowski, A., Eye tracking methodology: theory and practice. Springer Science & Business Media, 2007.

  52. Bulling, A., and Gellersen, H., Toward mobile Eye-based human-computer interaction. IEEE Pervasive Comput. 9:8–12, 2010.

    Article  Google Scholar 

  53. Dickie, C., Vertegaal, R., Sohn, C., Cheng, D., Eyelook: using attention to facilitate mobile media consumption. In: Proceedings of the 18th annual ACM symposium on user interface software and technology. pp. 103–106. ACM, Seattle, WA, USA, 2005.

  54. Zhai, S., Morimoto, C., Ihde, S., Manual and gaze input cascaded (MAGIC) pointing. In: Proceedings of the SIGCHI conference on Human factors in computing systems: the CHI is the limit. pp. 246–253. ACM, Pittsburgh, Pennsylvania, United States, 1999.

  55. Tobii. Available: http://www.tobii, 2015.

  56. Schneiderman, R., Accuracy, apps advance speech recognition [special reports]. IEEE Signal Process. Mag. 32:12–125, 2015.

    Article  Google Scholar 

  57. Schroeder, M. R., Computer speech: recognition, compression, synthesis. Springer Science & Business Media, 2004.

  58. Igarashi, T., Hughes, J. F., Voice as sound: using non-verbal voice input for interactive control. In: Proceedings of the 14th annual ACM symposium on User interface software and technology. pp. 155–156. ACM, Orlando, Florida, 2001.

  59. Sporka, A. J., Kurniawan, S. H., and Slavík, P., Non-speech operated emulation of keyboard. In: Clarkson, J., Langdon, P., and Robinson, P. (Eds.), Designing accessible technology. Springer London, London, pp. 145–154, 2006.

    Chapter  Google Scholar 

  60. Bilmes, J. A., Li, X., Malkin, J., Kilanski, K., Wright, R., Kirchhoff, K., Subramanya, A., Harada, S., Landay, J. A., Dowden, P., Chizeck, H., The vocal joystick: a voice-based human-computer interface for individuals with motor impairments. In: Proceedings of the conference on human language technology and empirical methods in natural language processing. pp. 995–1002. Association for Computational Linguistics, 2005.

  61. Poláček, O., Sporka, A. J., and Míkovec, Z., Measuring performance of a predictive keyboard operated by humming. In: Miesenberger, K., Karshmer, A., Penaz, P., and Zagler, W. (Eds.), Computers helping people with special needs: 13th international conference, ICCHP 2012, Linz, Austria, July 11-13, 2012, proceedings, part II. Springer Berlin Heidelberg, Berlin, pp. 467–474, 2012.

    Chapter  Google Scholar 

  62. Harada, S., Wobbrock, J. O., and Landay, J. A., Voice games: investigation into the use of Non-speech voice input for making computer games more accessible. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., and Winckler, M. (Eds.), Human-computer interaction – INTERACT 2011: 13th IFIP TC 13 international conference, Lisbon, Portugal, September 5-9, 2011, proceedings, part I. Springer Berlin Heidelberg, Berlin, pp. 11–29, 2011.

    Chapter  Google Scholar 

  63. Sporka, A. J., Kurniawan, S. H., Mahmud, M., Slavík, P., Non-speech input and speech recognition for real-time control of computer games. In: Proceedings of the 8th international ACM SIGACCESS conference on computers and accessibility. pp. 213–220. ACM, Portland, Oregon, USA, 2006.

  64. Pierre-Yves, O., The production and recognition of emotions in speech: features and algorithms. Int. J. Hum. Comput. Stud. 59:157–183, 2003.

    Article  Google Scholar 

  65. Ververidis, D., and Kotropoulos, C., Emotional speech recognition: resources, features, and methods. Speech Comm. 48:1162–1181, 2006.

    Article  Google Scholar 

  66. Schiel, F., Steininger, S., Türk, U., The SmartKom multimodal corpus at BAS. In: Proc. 3rd Int. Conf. on Language Resources and Evaluation (LREC 2002). pp. 35–41. 2002.

  67. France, D. J., Shiavi, R. G., Silverman, S., Silverman, M., and Wilkes, M., Acoustical properties of speech as indicators of depression and suicidal risk. IEEE Trans. Biomed. Eng. 47:829–837, 2000.

    Article  CAS  PubMed  Google Scholar 

  68. Ozdas, A., Shiavi, R. G., Silverman, S. E., Silverman, M. K., and Wilkes, D. M., Investigation of vocal jitter and glottal flow spectrum as possible cues for depression and near-term suicidal risk. IEEE Trans. Biomed. Eng. 51:1530–1540, 2004.

    Article  PubMed  Google Scholar 

  69. Schröder, M., Heylen, D., and Poggi, I., Perception of non-verbal emotional listener feedback. In: Hoffmann, R., and Mixdorff, H. (Eds.), Speech prosody 2006, vol. 40. TUDpress, Dresden, pp. 43–46, 2006.

    Google Scholar 

  70. Kostoulas, T., Mporas, I., Kocsis, O., Ganchev, T., Katsaounos, N., Santamaria, J. J., Jimenez-Murcia, S., Fernandez-Aranda, F., and Fakotakis, N., Affective speech interface in serious games for supporting therapy of mental disorders. Exp. Syst. Appl. 39:11072–11079, 2012.

    Article  Google Scholar 

  71. Hayward, V., Astley, O. R., Cruz-Hernandez, M., Grant, D., and Robles-De-La-Torre, G., Haptic interfaces and devices. Sens. Rev. 24:16–29, 2004.

    Article  Google Scholar 

  72. Göger, D., Weiß, K., Burghart, C., Wörn, H., Sensitive skin for a humanoid robot. In: Proceedings of the 2006 international conference on human-centered robotic systems. 2006.

  73. AAPB. Available: http://www.aapb.org/, 2011.

  74. Conconi, A., Ganchev, T., Kocsis, O., Papadopoulos, G., Fernandez-Aranda, F., Jimenez-Murcia, S., PlayMancer: a serious gaming 3D environment. In: International conference on automated solutions for cross media content and multi-channel distribution (AXMEDIS ‘08). pp. 111–117. Institute of Electrical and Electronics Engineers (IEEE), 2008.

  75. Nacke, L. E., Kalyn, M., Lough, C., Mandryk, R .L., Biofeedback game design: using direct and indirect physiological control to enhance game interaction. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. pp. 103–112. ACM, Vancouver, BC, Canada, 2011.

  76. Kuikkaniemi, K., Laitinen, T., Turpeinen, M., Saari, T., Kosunen, I., Ravaja, N., The influence of implicit and explicit biofeedback in first-person shooter games. In: Proceedings of the SIGCHI conference on human factors in computing systems. pp. 859–868. ACM, Atlanta, Georgia, USA, 2010.

  77. Flynn, S., Palma, P., and Bender, A., Feasibility of using the Sony PlayStation 2 gaming platform for an individual poststroke: a case report. J. Neurol. Phys. Ther. 31:180–189, 2007.

    Article  PubMed  Google Scholar 

  78. Saposnik, G., Teasell, R., Mamdani, M., Hall, J., McIlroy, W., Cheung, D., Thorpe, K., Cohen, L., and Bayley, M., Effectiveness of virtual reality using Wii gaming technology in stroke rehabilitation: a pilot randomized clinical trial and proof of principle. Stroke 41:1477–1484, 2010.

    Article  PubMed  PubMed Central  Google Scholar 

  79. Nintendo: Wii console. Available: http://www.nintendo.com/wii/console, 2014.

  80. Sony: playstation move. Available: http://pt.playstation.com/psmove/, 2014.

  81. Vanacken, L., Notelaers, S., Raymaekers, C., Coninx, K., van den Hoogen, W., Jsselsteijn, W. I., Feys, P., Game-based collaborative training for arm rehabilitation of MS patients: a proof-of-concept game. In: Proceedings of the GameDays 2010. pp. 65–75. 2010.

  82. Battocchi, A., Gal, E., Ben Sasson, A., Painesi, F., Venuti, P., Zancanaro, M., Weiss, P. L., Collaborative puzzle game - an interface for studying collaboration and social interaction for children who are typically developed or who have autistic spectrum disorder. In: Proceedings of the 7th International Conference series on disability, virtual reality and associated technologies (ICDVRAT). pp. 127–134. 2008.

  83. Battocchi, A., Pianesi, F., Tomasini, D., Zancanaro, M., Esposito, G., Venuti, P., Sasson, A. B., Gal, E., Weiss, P. L., Collaborative puzzle game: a tabletop interactive game for fostering collaboration in children with Autism Spectrum Disorders (ASD). In: Proceedings of the ACM international conference on interactive tabletops and surfaces. pp. 197–204. ACM, Banff, Alberta, Canada, 2009.

  84. Caglio, M., Latini-Corazzini, L., D’agata, F., Cauda, F., Sacco, K., Monteverdi, S., Zettin, M., Duca, S., and Geminiani, G., Video game play changes spatial and verbal memory: rehabilitation of a single case with traumatic brain injury. Cogn. Process. 10:195–197, 2009.

    Article  Google Scholar 

  85. Cameirão, M. S., Badia, S. B., Zimmerli, L., Oller, E. D., and Vershure, P. F. M. J., The rehabilitation gaming system: a review. Stud. Health Technol. Inform. 145:65–83, 2009.

    PubMed  Google Scholar 

  86. Hasomed RehaCom. Available: https://www.hasomed.de/en/rehacom/what-is-rehacom/product-overview.html?L=2, 2016.

  87. Maia, L., Gaspar, C., Azevedo, M., Loureiro, M. J., and Silva, C. F., Reabilitação cognitiva assistida por computador: o programa RehaCom e a sua utilização no GEARNeurop. Psiquiatr. Clín. 25:83–105, 2004.

    Google Scholar 

  88. Parrot software. Available: http://www.parrotsoftware.com/, 2016.

  89. Fundación intras. Available: http://www.intras.es/index.php?id=75, 2014.

  90. StatCounter: GlobalStats. Available: http://gs.statcounter.com/#browser-ww-monthly-201409-201509-bar, 2015.

  91. Bangor, A., Kortum, P., and Miller, J., Determining what individual SUS scores mean: adding an adjective rating scale. J. Usability Stud. 4:114–123, 2009.

    Google Scholar 

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Acknowledgments

This work has been supported by FCT - Fundação para a Ciência e Tecnologia in the scope of the projects: PEst-UID/CEC/00319/2015 and PEst-UID/CEC/00027/2015. The authors would like to thank also all the volunteers that participated in the study.

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Authors and Affiliations

  1. ESTG/IPVC - Escola Superior de Tecnologia e Gestão, Instituto Politécnico de Viana do Castelo, Viana do Castelo, Portugal

    Paula Alexandra Rego & Pedro Miguel Moreira

  2. LIACC - Laboratório de Inteligência Artificial e Ciência de Computadores, Porto, Portugal

    Paula Alexandra Rego, Brígida Mónica Faria, Luís Paulo Reis & Pedro Miguel Moreira

  3. DSI/EEUM - Departamento de Sistemas de Informação, Escola de Engenharia da Universidade do Minho, Guimarães, Portugal

    Rui Rocha & Luís Paulo Reis

  4. ESS/PP - Escola Superior de Saúde, Politécnico do Porto, Porto, Portugal

    Brígida Mónica Faria

  5. INESC-TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, Porto, Portugal

    Brígida Mónica Faria

  6. Centro ALGORITMI, Universidade do Minho, Guimarães, Portugal

    Luís Paulo Reis

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  1. Paula Alexandra Rego
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Correspondence to Paula Alexandra Rego.

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Rego, P.A., Rocha, R., Faria, B.M. et al. A Serious Games Platform for Cognitive Rehabilitation with Preliminary Evaluation. J Med Syst 41, 10 (2017). https://doi.org/10.1007/s10916-016-0656-5

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