TY  - CHAP
U1  - Konferenzveröffentlichung
A1  - Willwacher, Steffen
A1  - Korn, Oliver
ED  - Shin, Cliff Sungsoo
ED  - Di Bucchianico, Giuseppe
ED  - Fukuda, Shuichi
ED  - Ghim, Yong-Gyun
ED  - Montagna, Gianni
ED  - Carvalho, Cristina
T1  - Gamification of Movement Exercises in Rehabilitation and Prevention: A Framework for Smart Training in AI-Based Exergames
T2  - Advances in Industrial Design
N2  - Activities for rehabilitation and prevention are often lengthy and associated with pain and frustration. Their playful enrichment (hereafter: gamification) can counteract this, resulting in so-called “exergames”. However, in contrast to games designed solely for entertainment, the increased motivation and immersion in gamified training can lead to a reduced perception of pain and thus to health deterioration. Therefore, it is necessary to monitor activities continuously. However, only an AI-based system able to generate autonomous interventions could vacate the therapists’ costly time and allow better training at home. An automated adjustment of the movement training’s difficulty as well as individualized goal setting and control are essential to achieve such autonomy. This article’s contribution is two-fold: (1) We portray the potentials of gamification in the health area. (2) We present a framework for smart rehabilitation and prevention training allowing autonomous, dynamic, and gamified interactions.
KW  - Rehabilitation
KW  - Gamification
KW  - Movement
KW  - Ecercises
KW  - Physiotherapy
Y1  - 2021
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:ofb1-opus4-52744
SN  - 978-3-030-80828-0 (Print)
SB  - 978-3-030-80828-0 (Print)
SN  - 978-3-030-80829-7 (eBook)
SB  - 978-3-030-80829-7 (eBook)
U6  - https://doi.org/10.1007/978-3-030-80829-7_104
DO  - https://doi.org/10.1007/978-3-030-80829-7_104
VL  - LNNS 260
SP  - 855
EP  - 862
PB  - Springer
CY  - Cham
ER  -