可穿戴情感计算系统中的皮电活动智能传感器集成

M. F. Canabal, J. A. Miranda, J. M. Lanza-Gutiérrez, A. I. P. Garcilópez, C. López-Ongil
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引用次数: 4

摘要

如今,智能传感器在可穿戴情感计算系统中的集成旨在改进和创造基于传统传感技术的应用。包含这种类型的传感器是高传感要求应用的关键,例如基于情感计算的应用。这种传感集成必须得到直接影响性能的指标的定量支持,例如处理时间、内存使用和测量精度。本文从嵌入式角度对可穿戴受限设备中的特定智能传感器集成进行了全面分析。作者考虑了UC3M4Safety研究小组为防止性别暴力而开发的可穿戴设备BINDI。BINDI通过人工智能算法监测用户的生理和身体变量,以检测恐惧。除了其他传感器外,该设备还集成了一个皮肤电活动(EDA)传感器。这种类型的传感器被证明是与自主神经系统(ANS)激活直接相关的有价值的信息来源,它调节应激和放松情感状态下的生理反应。在BINDI的初始版本中,EDA传感器基于直流测量模式,并在不同志愿者的不同实验中得到验证。然而,已知交流测量EDA电路可以提供更多的信息。因此,这项工作提出了当前EDA传感器和未来版本BINDI的特定交流智能EDA传感器之间的详细比较。
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Electrodermal Activity Smart Sensor Integration in a Wearable Affective Computing System
Nowadays, the integration of smart sensors in wearable affective computing systems aims to improve and create applications based on conventional sensing technology. The inclusion of this type of sensors is key in high sensing-demanding applications, such as those based on affective computing. This sensing integration must be quantitatively supported by metrics that directly affect performance, such as processing time, memory usage, and measurement accuracy. This paper presents a comprehensive analysis of a specific smart sensor integration in a wearable constrained device from an embedded perspective. The authors performed this implementation by considering BINDI, which is a wearable device developed by the UC3M4Safety research group to prevent gender violence situations. BINDI monitors user physiological and physical variables to detect fear through artificial intelligence algorithms. Along with other sensors, this device incorporates an electroDermal activity (EDA) sensor. This type of sensor was proven to be a valuable source of information directly related to the autonomous nervous system (ANS) activation, which regulates physiological responses in stress and relaxed affective states. In the initial version of BINDI, which was validated in different experiments with different volunteers, the EDA sensor is based on a DC measurement schema. However, AC measurement EDA circuitry is known to provide a higher amount of information. Thus, this work presents a detailed comparison between the current EDA sensor and a specific AC smart EDA sensor for a future version of BINDI.
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