"PixelMood" is a tool that tracks changes in a user's mood and activity based on data collected through wearable devices and smartphones, and helps with self-awareness and well-being management. The app uses research-based data analytics to help users understand their lifestyle patterns and manage stress and mood swings.

Main features
1. Data-driven wellness analysis:
It uses data collected from survey responses (mood, stress, activity, etc.) and wearable devices to help users track their lifestyle patterns.
2. Supports formation of healthy habits:
It provides personalized feedback based on data to help users form healthier daily habits.
3. Research and use reference materials:
Anonymized data collected from the app can be used as reference material in the fields of mental health and behavioral research.

What is a digital phenotype?
Digital phenotype refers to data obtained in real time through digital devices used in everyday life.
- Data included: activity data, sleep patterns, heart rate, etc.
- Purpose of use: To help users understand their well-being and lifestyle patterns

PixelMood is an app focused on helping users manage their self-awareness and well-being and does not provide medical diagnosis or treatment.

Guide to using background location information
PixelMood is designed to more precisely analyze the user's travel distance and activity patterns.
We collect background location data with your explicit consent.
This feature enables consistent activity tracking even when the user is not running the app.
It is linked with biometric data collected from wearable devices such as heart rate and number of steps.
It is used to provide more accurate well-being analysis and customized feedback.

Collected location information is not shared externally.
Users can change or revoke permissions at any time through the app settings.