首页> 外文会议>Ubiquitous Computing Systems; Lecture Notes in Computer Science; 4239 >Portable Device for Bi-emotional State Identification Using Heart Rate Variability
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Portable Device for Bi-emotional State Identification Using Heart Rate Variability

机译:使用心率变异性进行双情感状态识别的便携式设备

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For the Ubiquitous computing system, a well designed computer interface should have the ability of making the user feel comfortable so as to encourage user performance. In order to do this, systems should be able to identify the emotional state of the user. Thus, the identification of the user's emotional state is of importance in developing context-related devices, which offer the optimal feedback to the user depending on the user's emotional state. Those devices require portability and continuous measurement for daily use, which is particularly essential for an ubiquitous healthcare device. In this paper, the portable device for bi-emotional state identification was designed using heart rate variability (HRV) extracted from beat-to-beat photoplethysmography (PPG) waveforms. A portable wrist-band type PPG measuring device was equipped with a Bluetooth communication interface to provide mobility. HRV was estimated from smoothed differentiated PPG waveforms by the absolute value of the successive beat-to-beat interval difference. Two emotional states are artificially induced by a composed video clip, and then validated by the self-assessment Manikin method. The designed device was then applied to a respiration training device to adjust the balance level of the autonomous nervous system throughout the respiration pager, whose level changes in proportion to the estimated ratio between negative and positive emotional states. Experimentation using 19 male and six female participants demonstrated the feasibility of a ubiquitous emotional feedback control device.
机译:对于普适计算系统,设计良好的计算机界面应具有使用户感到舒适的能力,以鼓励用户表现。为了做到这一点,系统应该能够识别用户的情绪状态。因此,在开发与情境有关的设备时,对用户情绪状态的识别很重要,该设备根据用户的情绪状态向用户提供最佳反馈。这些设备需要携带和连续测量以用于日常使用,这对于无处不在的医疗设备特别重要。在本文中,使用从逐次搏动光体积描记法(PPG)波形提取的心率变异性(HRV)设计了用于双情感状态识别的便携式设备。便携式腕带式PPG测量设备配备了蓝牙通信接口以提供移动性。根据连续拍频间隔差的绝对值,从平滑的微分PPG波形估计HRV。合成的视频剪辑会人工诱发两个情感状态,然后通过自我评估人体模型方法进行验证。然后将设计的设备应用于呼吸训练设备,以调整整个呼吸寻呼机中自主神经系统的平衡水平,其水平与负情绪状态和正情绪状态之间的估计比率成比例地变化。使用19名男性和6名女性参与者进行的实验证明了普遍使用的情绪反馈控制设备的可行性。

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