# Intelligent Stress Assessment for e-Coaching

arXiv: https://arxiv.org/abs/2311.03385 · HTML: https://mlsanity.com/paper/2311.03385/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 25 references that are in the map.
- First posted on arXiv 3 Nov 2023.

## Builds on (most cited first, 1 of 1)

- [Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective](https://mlsanity.com/paper/1903.05801/) (2019)

## Abstract (arXiv)

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.