Mood Tracker is a specialized app developed for the purpose of collecting EEG data, capturing questionnaire responses, and logging emotional states, tailored specifically for scientific research in the field of neuroscience and psychology. This app seamlessly integrates real-time EEG signals with user-inputted emotional logs and questionnaire feedback, providing a comprehensive toolkit for researchers studying emotional and cognitive responses.

Core Features:
EEG Data Collection: Connects with designated IoT EEG devices via Bluetooth to record precise brainwave data.
Emotional State Logging: Users can log their emotional states, providing valuable subjective data alongside objective EEG readings.
Questionnaire Module: Participants complete psychological questionnaires within the app, allowing for correlation of EEG data with self-reported symptoms and states.

User Journey:
Initial Setup: Users are greeted by a splash screen followed by options to sign up or log in. A forgotten password recovery option is available for ease of access.
Device Pairing: After logging in, users proceed to pair their EEG recording device via Bluetooth. Detailed instructions guide the user through a successful pairing.
Calibration and Data Collection: Post-pairing, users calibrate their device and begin data collection sessions, which include EEG recordings and simultaneous emotional state logs.
Profile Management: Users can manage their profiles, review past entries, and adjust settings as necessary.

Device Dependency:
The app’s primary functionalities require the connection to a specific, compatible IoT EEG device.
Without this device, users can access only the initial screens (splash, sign-in, and Bluetooth pairing). Further functionalities are unlocked upon successful device connection.
Mood Tracker is committed to advancing scientific research by providing a robust platform for the precise collection of complex emotional and neurological data.