Intelligent Stress Assessment for e-Coaching
Lai, Kenneth, Yanushkevich, Svetlana, Shmerko, Vlad
–arXiv.org Artificial Intelligence
Abstract--This paper considers the adaptation of the e-continuously learn the user's stress pattern in order to adjust The measure of usefulness includes accuracy, among others. As stated in In this paper, two-stage intelligent processing, as seen in [3], e-coaching "may contribute to a better understanding of Figure 1, is used: people's affective responses to the COVID-19 crisis. Stage I is aimed at gathering physiological information legal, and social implications are addressed appropriately, from a subject for human decision-making (reasoning). Stage II is aimed at supporting the human decisionmaker society by monitoring and improving people's mental health". Typical symptoms include anxiety, panic, avoidance, and stress.
arXiv.org Artificial Intelligence
Nov-3-2023
- Country:
- North America > Canada > Alberta > Census Division No. 6 > Calgary Metropolitan Region > Calgary (0.14)
- Genre:
- Research Report (1.00)
- Industry: