Wearable technologies for physiological signal monitoring in everyday environments

在这个项目中，Thought Technology将与麦吉尔大学Blain-Moraes博士的实验室合作，开发一种可在日常环境中使用的可穿戴设备，并提供用户情绪和生理状态的实时听觉反馈。根据生理信号的模式对情绪进行分类的可行性早已确立。自主神经系统（ANS）的信号，包括皮肤电活动（EDA），心率和皮肤温度，已被用来区分离散的情绪类别。该项目将建立在Thought Technology现有的三点传感器（TPS）** 的基础上，并将其与biomusic集成-这是一款由Blain-Moraes博士开发的基于Android的应用程序，该应用程序将ANS** 信号转换为音乐输出，其过程称为发声。该项目将遵循快速原型 ** 流程，快速原型将通过以下三个阶段进行开发和测试：1）** 传感器硬件设计; 2）声化设计：在这个阶段，将设计和测试ANS信号的各种听觉表征，目标是集中在一个发声，这是最佳的给用户 ** 反馈他们的情绪和生理状态在日常环境中，和; 3）在 ** 舞蹈/瑜伽工作室进行评估。该项目完成后，我们预计将生产出可在日常环境中有效使用的可穿戴传感器，可用于未来的产品发布。

In this project, Thought Technology will partner with the Dr. Blain-Moraes' lab at McGill University to**develop a wearable device that can be used in everyday environments, and which provides real-time auditory**feedback of a user's emotional and physiological state. The feasibility of classifying emotion based on patterns**of physiological signals has been long established. Signals of the autonomic nervous system (ANS) including**electrodermal activity (EDA), heart rate, and skin temperature have been used to discriminate between discrete**categories of emotions. The project will build upon Thought Technology's existing Triple Point Sensor (TPS),**and integrate it with biomusic - an Android-based app developed by Dr. Blain-Moraes which translates ANS**signals into musical output in a process known as sonification. This project will follow a rapid-prototyping**process, where quick prototypes will be developed and tested by iterating through the following three stages: 1)**Sensor hardware design; 2) Sonification design: In this stage, various auditory representations of ANS signals**will be designed and tested, with the goal of converging on a sonification that is optimal for giving users**feedback of their emotional and physiological states in everyday environments, and; 3) Assessment in a**dance/yoga studio. Upon completion of this project, we expect to have produced a wearable sensor that can be**effectively used in everyday environments, which can be used in future product launches.