【论文阅读】Towards an adaptive Virtual Reality Serious Game System for Motor Rehabilitation based on Facial Emotion Recognition
1.这篇文章究竟讲了什么问题？
基于自适应虚拟游戏的面部表情识别的运动康复
2.这是否是一个新的问题？
基于虚拟游戏的康复不是新问题，采用面部表情自适应调整游戏是创新点
3.这篇文章要验证一个什么科学假设？
所提系统能够根据病人的面部表情自适应的调整游戏
4.有哪些相关研究？如何归类？谁是这一课题在这领域值得关注的研究员？
自适应严肃游戏：视频游戏应用于健康照看，训练，学习以及教育
[1] Benrachou D E , Masmoudi M , Djekoune O , et al. Avatar-Facilitated Therapy and Virtual Reality: Next-Generation of Functional Rehabilitation Methods[C]// 2020 1st International Conference on Communications, Control Systems and Signal Processing (CCSSP). 2020.
[2]E. KOUTSIANA et al., “1,” JMIR Serious Games, vol. 8, no. 4, p. 19071.
[3] B. Ferreira and P. Menezes, “An Adaptive Virtual Reality-Based Serious Game for Therapeutic
Rehabilitation,” 2020.
[4] Z. Zhao, A. Arya, R. Orji, and G. Chan, “Effects of a Personalized Fitness Recommender System Using Gamification and Continuous Player Modeling: System Design and Long-Term
Validation Study,” JMIR serious games, vol. 8, no. 4, p. e19968, 2020.
[5] C. S. GONZÁLEZ-GONZÁLEZ, P. A. TOLEDO-DELGADO, V. MUÑOZ-CRUZ, and and,
“Serious games for rehabilitation: Gestural interaction in personalized gamified exercises through a recommender system,” J. Biomed. Inform., vol. 97, p. 103266, 2019.
[6] G. BERNAVA, A. NUCITA, G. IANNIZZOTTO, and and, “Proteo:A Framework for Serious Games in Tele-rehabilitation.” .
[7] R. LALWANI, A. CHOUHAN, V. JOHN, and and, “I-Mouse: A Framework for Player Assistance in Adaptive Serious Games,” in : International Conference on Artificial Intelligence in Education, pp. 234–238.
[8] C. GMEZ-PORTES, C. LACAVE, A. MOLINA, and and, “Home Rehabilitation Based on
Gamification and Serious Games for Young People,” A Syst. Mapp. Study. Appl. Sci., vol. 10,
no. 24, p. 8849.
[9] D. Vallejo, C. Gmez-Portes, J. Albusac, C. Glez-Morcillo, and J. J. Castro-Schez, “Personalized Exergames Language: A Novel Approach to the Automatic Generation of Personalized Exergames for Stroke Patients,” Appl. Sci, vol. 10, p. 7378, 2020.
5.论文中提到的解决方案之关键是什么？
提出两个模块：CNN-based运动识别模块，分析病人的面部表情，VR-based严肃游戏模块，检索更新的情感信息，提供给病人合适的游戏，使得病人能够在良好的状态下进行康复运动。
6.论文中的实验是如何设计的？
在三个场景中进行游戏过程情感识别，并根据表情进行自动调整游戏，包括速度，长方体数量，球的颜色改变的时间
7.用于定量评估的数据集是什么？代码有没有开源？
治疗师建议的
没有
8.论文中的实验及结果有没有很好地支持需要验证的科学假设？
有
9.这篇论文到底有什么贡献？
提出基于自适应虚拟游戏的面部表情识别的运动康复
10.下一步呢？有什么工作可以继续深入？
a)游戏可以分为多困难等级
b)在VR中完成游戏调整+情感识别
