Week 14

Algorithm testing and Final adjustments

This week, we finalized the development and testing of the algorithm responsible for processing and analyzing multiple streams of biometric and contextual data. The system was designed to detect anomalies and trigger alerts when necessary.

The algorithm analyzes the following parameters:

Heart rate
Body temperature
User posture, with recognition of the following positions:

- Standing
- Lying on the back (supine)
- Lying on the stomach (prone)
- Lying on the side
- Handstand (inverted position) 

User location (via GPS) Fall detection (with accelerometer and gyroscopic data)

Based on this data, the system:

- Identifies abnormal conditions or emergency situations.
- Sends automated warnings and alarms to the user's WebApp card.
- Notifies monitoring personnel in real-time.
- Logs all biometric values, system statuses, and warning messages into the central database for traceability and analysis.

WebApp Interface Adjustments

We also worked on final interface refinements to ensure:

- Accurate and real-time visualization of user data.
- Responsive design for different devices and screen sizes.
- Flawless integration between the algorithm outputs and the WebApp components.

Communication Materials

This week marked the deadline for communication deliverables, and we successfully submitted all required materials, meeting both content and quality expectations.