Among the seventeen Sustainable Development Goals (SDGs) proposed within the 2030 Agenda and adopted by all the United Nations member states, the Fifth SDG is a call for action to turn Gender Equality into a fundamental human right and an essential foundation for a better world. It includes the eradication of all types of violence against women. Within this context, the UC3M4Safety research team aims to develop Bindi. This is a cyber-physical system which includes embedded Artificial Intelligence algorithms, for user real-time monitoring towards the detection of affective states, with the ultimate goal of achieving the early detection of risk situations for women. On this basis, we make use of wearable affective computing including smart sensors, data encryption for secure and accurate collection of presumed crime evidence, as well as the remote connection to protecting agents. Towards the development of such system, the recordings of different laboratory and into-the-wild datasets are in process. These are contained within the UC3M4Safety Database. Thus, this paper presents and details the first release of WEMAC, a novel multi-modal dataset, which comprises a laboratory-based experiment for 47 women volunteers that were exposed to validated audio-visual stimuli to induce real emotions by using a virtual reality headset while physiological, speech signals and self-reports were acquired and collected. We believe this dataset will serve and assist research on multi-modal affective computing using physiological and speech information.

翻译：在《2030年议程》提出的、并得到所有联合国会员国通过的十七个可持续发展目标（SDGs）中，第五个SDG呼吁采取行动，将性别平等转变为一项基本人权和建设更美好世界的重要基础。其中包括消除一切形式的暴力侵害妇女行为。在此背景下，UC3M4Safety研究团队致力于开发Bindi系统。这是一个包含嵌入式人工智能算法的信息物理系统，用于实时监测用户以检测情感状态，最终目标是实现女性危险情景的早期检测。基于此，我们利用可穿戴情感计算技术，包括智能传感器、用于安全准确收集潜在犯罪证据的数据加密技术，以及与保护人员的远程连接。为了开发该系统，我们正在录制不同实验室和真实场景的数据集。这些数据集包含在UC3M4Safety数据库中。因此，本文介绍并详细说明了WEMAC的首次发布，这是一个新颖的多模态数据集，包含了针对47名女性志愿者的实验室实验。这些志愿者在佩戴虚拟现实头显时，被暴露于经过验证的视听刺激以诱导真实情感，同时采集了生理信号、语音信号和自我报告数据。我们相信，该数据集将为利用生理和语音信息的多模态情感计算研究提供支持与辅助。