This paper considers the adaptation of the e-coaching concept at times of emergencies and disasters, through aiding the e-coaching with intelligent tools for monitoring humans' affective state. The states such as anxiety, panic, avoidance, and stress, if properly detected, can be mitigated using the e-coaching tactic and strategy. In this work, we focus on a stress monitoring assistant tool developed on machine learning techniques. We provide the results of an experimental study using the proposed method.

翻译：本文探讨了在突发事件和灾难情境下，通过引入智能工具辅助电子辅导系统监测人类情感状态，从而对电子辅导概念进行适应性调整。焦虑、恐慌、逃避及压力等状态若能被准确识别，即可借助电子辅导的战术与策略加以缓解。本研究聚焦于基于机器学习技术开发的压力监测辅助工具，并提供了采用所提方法开展的实验研究结果。