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Nap Environment Control Considering Respiration Rate and Music Tempo by Using Sensor Agent Robot

机译:使用传感器代理机器人的考虑呼吸频率和音乐节奏的小睡环境控制

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We propose a system that controls a nap environment considering respiration rates and music tempo by using a sensor agent robot. The proposed system consists of two sub-systems. The first sub-system measures respiration rates using optical flow. We conducted preparatory experiments to verify the accuracy of this sub-system. The experimental results showed that this sub-system can measure the respiration rates accurately despite several positional relationships. It was also shown that the accuracy could be affected by clothes, movements and light. The second sub-system we constructed was the music play sub-system that chooses music with the certain tempo corresponding to the respiration rates measured by the first sub-system. We conducted verification experiments to verify the effectiveness of this music play sub-system. The experimental results showed the effectiveness of varying music tempo based on the respiration rates in taking a nap. We also demonstrated this system in a real environment; a subject entered into the room being followed by ebioNa. When the subject was considered sleeping, ebioNa started measuring respiration rates, controlling music based on the respiration rates. As a result, we showed that this system could be realized. As a next step, we would like to improve this system to a nap environment control system to be used in offices. To realize this, we need to update the first sub-system measuring respiration rates by removing disturbances. We also need to upgrade music play sub-system considering the numbers of tunes, the kinds of music and time to change music.
机译:我们提出了一种系统,该系统通过使用传感器代理机器人来考虑呼吸频率和音乐节奏来控制午睡环境。拟议的系统由两个子系统组成。第一个子系统使用光流测量呼吸速率。我们进行了准备实验,以验证该子系统的准确性。实验结果表明,尽管存在多个位置关系,该子系统仍可以准确地测量呼吸频率。还表明,衣服,动作和光线可能会影响准确性。我们构建的第二个子系统是音乐播放子系统,该系统选择具有一定节奏的音乐,该节奏对应于第一个子系统所测量的呼吸频率。我们进行了验证实验,以验证该音乐播放子系统的有效性。实验结果表明,在小睡时根据呼吸频率改变音乐节奏是有效的。我们还在真实环境中演示了该系统。一名受试者进入房间,随后是ebioNa。当受试者被认为处于睡眠状态时,ebioNa开始测量呼吸频率,并根据呼吸频率控制音乐。结果,我们证明了该系统是可以实现的。下一步,我们希望将此系统改进为要在办公室中使用的小睡环境控制系统。为此,我们需要通过消除干扰来更新第一个测量呼吸频率的子系统。考虑到曲数,音乐种类和更改音乐的时间,我们还需要升级音乐播放子系统。

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