Abstract
Parkinson’s disease patients are consulted to frequently exercise and undergo physiotherapy to reduce the progression rate of their disease. However, this can be a problem when the caretakers that bring them to the rehabilitation center are unavailable due to work or other related issues. The cost to go to rehabilitation is also expensive. Therefore, patients tend to exercise at home where there is no one to monitor except for their caretakers. This can lead to problems in evaluating the progress of the patient’s rehabilitation. The solution for this issue is to develop a game-based rehabilitation. This paper aims to investigate the element for a game-based Parkinson’s disease rehabilitation. Then, the elements are used to develop the preliminary framework which later can be used to develop game-based exercise. A total of eight frameworks and models are studied to identify the core elements. The seven elements which are commonly used are game design, game mechanics, game engine, patient, therapist, results, and database.
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References
Avola, D., Cinque, L., Foresti, G.L., Marini, M.R., Pannone, D.: VRheab: a fully immersive motor rehabilitation system based on recurrent neural network. Multimed. Tools Appl. 77(19), 24955–24982 (2018). https://doi.org/10.1007/s11042-018-5730-1
Ayed, I., Ghazel, A., Jaume-i-Capó, A., Moyà-Alcover, G., Varona, J., Martínez-Bueso, P.: Vision-based serious games and virtual reality systems for motor rehabilitation: a review geared toward a research methodology. Int. J. Med. Informatics 131(May), 103909 (2019). https://doi.org/10.1016/j.ijmedinf.2019.06.016
Dewald, J.P.A., Ellis, M.D., Acosta, A.M., McPherson, J.G., Stienen, A.H.A.: Implementation of impairment- based neurorehabilitation devices and technologies following brain injury. In: Neurorehabilitation Technology, 2nd edn. (2016). https://doi.org/10.1007/978-3-319-28603-7_18
Department of Statistics Malaysia. Malaysia Pocket Stats Quarter 1 2020 (2020)
Elor, A., Teodorescu, M., Kurniawan, S.: Project star catcher. ACM Trans. Accessible Comput. 11(4), 1–25 (2018). https://doi.org/10.1145/3265755
Elaklouk, A.M.S.: Framework for game-based cognitive rehabilitation (2014)
Fincham, J.E.: The public health importance of improving health literacy. Am. J. Pharm. Educ. 77(3), 3–4 (2013)
Foletto, A.A., Cordeiro d’Ornellas, M., Cervi Prado, A.L.: Serious games for parkinson’s disease fine motor skills rehabilitation using natural interfaces. Stud. Health Technol. Inform. 245, 74–78 (2017). https://doi.org/10.3233/978-1-61499-830-3-74
Herrlich, M., Smeddinck, J.D., Soliman, M., Malaka, R.: “Grab-that-there”: live direction for motion-based games for health. In: Conference on Human Factors in Computing Systems - Proceedings, Part F1276, pp. 2622–2629 (2017). https://doi.org/10.1145/3027063.3053212
Ienca, M., et al.: Intelligent assistive technology for Alzheimer’s disease and other dementias: a systematic review. J. Alzheimer’s Dis. 56(4), 1301–1340 (2017). https://doi.org/10.3233/JAD-161037
Kastaniotis, D., Theodorakopoulos, I., Theoharatos, C., Economou, G., Fotopoulos, S.: A framework for gait-based recognition using Kinect. Pattern Recogn. Lett. 68, 327–335 (2015). https://doi.org/10.1016/j.patrec.2015.06.020
Latif, R.A., Ismail, R., Mohd Mahidin, E.M.: Game-based rehabilitation program for community-based centers in Malaysia. Int. J. Adv. Sci. Eng. Inf. Technol. 10(2), 640–646 (2020). https://doi.org/10.18517/ijaseit.10.2.10228
Muñoz, J.E., Gonçalves, A., Rúbio Gouveia, É., Cameirão, M.S., BermúdezBadia, S.: Lessons learned from gamifying functional fitness training through human-centered design methods in older adults. Games Health J. 8(6), 387–406 (2019). https://doi.org/10.1089/g4h.2018.0028
Nebeker, C., Murray, K., Holub, C., Haughton, J., Arredondo, E.M.: Acceptance of mobile health in communities underrepresented in biomedical research: barriers and ethical considerations for scientists. JMIR Mhealth Uhealth 5(6), e87 (2017). https://doi.org/10.2196/mhealth.6494
Paraskevopoulos, I., Tsekleves, E.: Use of gaming sensors and customised exergames for parkinson’s disease rehabilitation: a proposed virtual reality framework. In: 2013 5th International Conference on Games and Virtual Worlds for Serious Applications, VS-GAMES 2013 (2013). https://doi.org/10.1109/VS-GAMES.2013.6624247
Paraskevopoulos, I.T.: The development and applications of serious games in the public services: defence and health. 13(2), 197–212 (2014). https://doi.org/10.1177/154411130201300209
Rego, P.A., Moreira, P.M., Reis, L.P.: Architecture for serious games in health rehabilitation paula. 276(May 2016) (2014). https://doi.org/10.1007/978-3-319-05948-8
Yap, J.K.Y., Pickard, B.S., Chan, E.W.L., Gan, S.Y.: The role of neuronal NLRP1 Inflammasome in Alzheimer’s disease: bringing neurons into the neuroinflammation game. Mol. Neurobiol. 56(11), 7741–7753 (2019). https://doi.org/10.1007/s12035-019-1638-7
Yusoff, A., Crowder, R., Gilbert, L., Wills, G.: A conceptual framework for serious games. In: Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009, pp. 21–23 (2009). https://doi.org/10.1109/ICALT.2009.19
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The authors greatly acknowledge Ministry of Higher Education Malaysia and Universiti Pertahanan Nasional Malaysia for the financial support. Special thank you to the reviewers for their valuable comments and suggestions.
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Abd Rauf, M.F., Kahar, S., Mohamad Amran, M.F., Marjudi, S., Adnan, Z., Wong, R. (2024). Comparison of Game Development Framework and Model for Parkinson Disease Rehabilitation. In: Silhavy, R., Silhavy, P. (eds) Software Engineering Methods in Systems and Network Systems. CoMeSySo 2023. Lecture Notes in Networks and Systems, vol 909. Springer, Cham. https://doi.org/10.1007/978-3-031-53549-9_35
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