StressCalendar: aferição e investigação das causas do estresse por meio de smartwatches

Abstract

Persistent stress can have negative impacts on physical and mental health, requiring effective approaches for its monitoring and management. Although modern devices, such as smartwatches, offer physiological measurements like heart rate and heart rate variability (HRV), these data are generally presented in isolation, without correlation to daily life events. To address this limitation, this work proposes the development of StressCalendar, a mobile application integrated with smartwatches for manual event logging and contextualized stress analysis. The solution was implemented using Expo, React Native, and Express technologies, with local storage in an SQLite database. The application allows users to record stress-related activities, categorize them, assign a value based on a predefined stress scale ranging from 0 to 4, and visualize the records through an interactive calendar and analytical graphs. As a result, StressCalendar proved effective in identifying recurring patterns and investigating potential stress triggers, providing users with a more comprehensive and personalized analysis.