Abstract
Augmented Reality (AR) is a novel technology that experiences rapid bloom in the last years. By using an AR electronic device, we can blend the real world with a virtual one in real time. Gamification in healthcare interventions helps patients adopt a healthier lifestyle in various aspects of their lives. In this direction, there is ample space for exploration in the field of alternative treatments for diseases like Parkinson’s disease (PD). Among the various game categories targeting PD patients’ rehabilitation, exergames, that focus on the main exercises employed in the interventions phase of early-stage PD patients, gain great popularity. The reason is that physical activity is a key concept for delaying motor and functional loss of early-stage PD patients.
In this context, this work presents HoloPrognosis, an AR-based serious exercise game targeting the mitigation of upper limbs motor impairment of early-stage PD patients. More specifically, the game motivates the patients to reach large amplitude movements progressively while tracking their performance and collecting data related to hand movement for further analysis. Unlike other similar efforts, AR offers the advantages of augmented engagement and user experience, real first-person experience and authentic human body controls.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Azuma, R.T.: A survey of augmented reality. Presence Teleoper. Virt. Environ. 6(4), 355–385 (1997)
Dias, S.B., et al.: Personalized game suite: a unified platform to sustain and improve the quality of life of parkinson's disease patients. In: SAN2016 Meeting (2016). https://doi.org/10.3389/conf.fnhum.2016.220.00023
Kim, A., Lee, H.-S., Song, C.-S.: Effects of interactive metronome training on postural stability and upper extremity function in Parkinson’s disease: a case study. J. Phys. Ther. Sci. 29(1), 168–171 (2017)
A-B-A Design (ABA). https://www.appliedbehavioranalysisprograms.com/faq/what-is-the-a-b-a-design-in-applied-behavior-analysis
Dias, S.B., et al.: Serious games as a means for holistically supporting Parkinson’s Disease patients: the i-PROGNOSIS personalized game suite framework. In: 2017 9th International Conference on Virtual Worlds and Games for Serious Applications (VS-Games), pp. 237–244. IEEE (2017)
Riley, D., Lang, A.E., Blair, R.D., Birnbaum, A., Reid, B.: Frozen shoulder and other shoulder disturbances in Parkinson’s disease. J. Neurol. Neurosurg. Psychiatry 52(1), 63–66 (1989)
Rigidity (Stiffness). https://www.parkinson.org/Understanding-Parkinsons/Symptoms/Movement-Symptoms/Rigidity-Stiffness
Keus, S., et al. European physiotherapy guideline for Parkinson’s disease. The Netherlands: KNGF/ParkinsonNet (2014)
Alamri, A., Cha, J., El Saddik, A.: AR-REHAB: an augmented reality framework for poststroke-patient rehabilitation. IEEE Trans. Instrum. Meas. 59(10), 2554–2563 (2010)
System Usability Scale (SUS). https://www.usability.gov/how-to-and-tools/methods/system-usability-scale.html
Acknowledgements
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690494.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Thomos, M., Charisis, V., Hadjidimitriou, S., Iakovakis, D., Bostantzopoulou, S., Hadjileontiadis, L. (2020). HoloPrognosis - An AR-Based Serious Exercise Game for Early Stage Parkinson’s Disease Patients. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. Design Approaches and Supporting Technologies. HCII 2020. Lecture Notes in Computer Science(), vol 12188. Springer, Cham. https://doi.org/10.1007/978-3-030-49282-3_30
Download citation
DOI: https://doi.org/10.1007/978-3-030-49282-3_30
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-49281-6
Online ISBN: 978-3-030-49282-3
eBook Packages: Computer ScienceComputer Science (R0)