Exercise games (exergames) that combine both exercise and video gaming train people in a fun and competitive manner to lead a healthy lifestyle. Exergames promote more physical exertion and help users exercise more easily and independently in any place. Many studies have been conducted to evaluate the positive effects of exergames. However, in most studies, heart rate was mainly used to measure the effect of exercise. In this study, we evaluate the effects of exercise according to the exercise type (rest, walking, tennis, and running) and gameplay mode (single, competition, and cooperation) of exergaming via quantitative measurements using electrocardiogram (ECG) and Kinect. The multiple comparison results reveal that physical activity measured with Kinect was statistically significant even in exergames that did not show statistically significant differences according to ECG. Running was statistically significant compared to other exercise types, and there was a significant difference in competition compared to other gameplay modes.

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Exergame中运动类型和游戏模式对体力活动的影响

结合运动和视频游戏的运动游戏（exergames）以有趣和有竞争力的方式训练人们过上健康的生活方式。Exergames 促进更多的体力消耗，帮助用户在任何地方更轻松、更独立地锻炼。已经进行了许多研究来评估运动游戏的积极影响。然而，在大多数研究中，心率主要用于衡量运动的效果。在本研究中，我们通过使用心电图 (ECG) 和 Kinect 进行定量测量，根据运动游戏的运动类型（休息、步行、网球和跑步）和游戏模式（单人、比赛和合作）来评估运动效果。多重比较结果表明，即使在根据 ECG 没有显示出统计学显着差异的运动游戏中，使用 Kinect 测量的身体活动也具有统计学意义。与其他运动类型相比，跑步具有统计学意义，与其他游戏模式相比，竞争存在显着差异。