TY - GEN
T1 - Holoprognosis - an ar-based serious exercise game for early stage parkinson’s disease patients
AU - Thomos, Marios
AU - Charisis, Vasileios
AU - Hadjidimitriou, Stelios
AU - Iakovakis, Dimitrios
AU - Bostantzopoulou, Sevasti
AU - Hadjileontiadis, Leontios
N1 - Funding Information:
Acknowledgements. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 690494.
Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - 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.
AB - 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.
KW - Augmented Reality
KW - Parkinson’s disease
KW - Serious game
UR - http://www.scopus.com/inward/record.url?scp=85088751108&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-49282-3_30
DO - 10.1007/978-3-030-49282-3_30
M3 - Conference contribution
AN - SCOPUS:85088751108
SN - 9783030492816
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 417
EP - 430
BT - Universal Access in Human-Computer Interaction. Design Approaches and Supporting Technologies - 14th International Conference, UAHCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Proceedings
A2 - Antona, Margherita
A2 - Stephanidis, Constantine
PB - Springer
T2 - 14th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2020, held as part of the 22nd International Conference on Human-Computer Interaction, HCII 2020
Y2 - 19 July 2020 through 24 July 2020
ER -