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浙江大学学报(工学版)
J4  2011, Vol. 45 Issue (2): 295-300    DOI: 10.3785/j.issn.1008973X.2011.02.016
    
Heart rate based physiological states model for
body-controlled games
SUN Jie1,2, CHEN Ling1, RUAN Sheng-sheng 1, CHEN Gen-cai1
1.College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027;
2. Software Technical College, Qingdao University, Qingdao, 266061
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Abstract  

To build physiological states model for body-controlled games,the change of physiological signals during playing bodycontrolled games was investigated and analyzed. An experiment was conducted to obtain the heart rate (HR) and heart rate variability (HRV) of twelve healthy participants (mean age: 26.6, SD: 1.62) while playing a body-controlled game. The results indicate that HR and some of frequency domain HRV parameters, obtained at different physiological states (rest, fitness, and fatigue), show a statistically significant change (p<0.05). Moreover, a discriminant model was built based on Fisher linear discriminant analysis, which can be used to classify the physiological states of players. Self-validation and cross-validation were used to evaluate the model, and the correct rates of the two validation schemes were higher than 75%. The experimental results indicate that this discriminant model can completely classify the physiological states of players during playing body-controlled games.

Published: 17 March 2011
CLC:  TP 391  
  R 540.4  
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Cite this article:

SUN Jie, CHEN Ling, RUAN Sheng-sheng , CHEN Gen-cai. Heart rate based physiological states model for
body-controlled games. J4, 2011, 45(2): 295-300.

URL:

http://www.zjujournals.com/eng/10.3785/j.issn.1008973X.2011.02.016     OR     http://www.zjujournals.com/eng/Y2011/V45/I2/295


基于心率的身体控制游戏生理状态模型

为了建立身体控制游戏生理状态模型,采集身体控制游戏时玩家生理信号变化并加以分析.通过实验获取了12名健康参测人员（平均年龄：26.6,标准差：1.62）玩身体控制游戏时的心率、心率变异性数据,用单因素方差分析得出不同状态（休息、适度运动和疲劳）下心率和一些心率变异性频域指标有显著变化（p<0.05）,在此基础上构建基于Fisher线性分类方法的玩家生理状态判别模型,并采用自身验证和交互验证2种验证方法对判别模型进行了评价,2种方法的平均判别正确率均大于75%.实验结果表明,该判别模型能有效判别玩身体控制游戏时玩家的生理状态.

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