[PFE Research] Portable Fatigue Monitoring System ... - STMicroelectronics Community

Hello ST Community,

I am currently working on my Final Year Project (PFE) and would appreciate your guidance regarding hardware and system design choices.

Project Context (PFE)

Objective:
Develop a portable Edge AI–based system to detect worker fatigue in an industrial maintenance environment.

Planned Technical Stack:

STM32MP1 (Cortex-A7 + Cortex-M4)
OpenSTLinux / Yocto
TensorFlow Lite
Physiological sensors: ECG / PPG, IMU, skin temperature

Specific Questions

1. STM32MP1 Board Selection

Between STM32MP157F-DK2 (~120€) and STM32MP157A-DK1 (~90€), which board would you recommend for this application?
Is the price difference justified for the F-DK2 in the context of a student project?
Do you have any feedback regarding the stability and reliability of the onboard Wi-Fi/BLE?

2. ST-Recommended Sensors

Are there STMicroelectronics sensors compatible with the following needs?

Heart rate sensor (PPG – ST equivalent to MAX30102?)
6-axis IMU (accelerometer + gyroscope)
Accurate skin temperature sensor
Availability of Linux drivers or kernel support

3. Software Architecture

What is the best practice for A7 ↔ M4 communication when handling sensor data?
Any experience or recommendations for TensorFlow Lite on STM32MP1?
Tips for power optimization in a portable, battery-powered system?

4. Similar Experiences

Have you worked on or seen similar fatigue or health monitoring projects?
What are the common pitfalls when acquiring physiological signals (ECG/PPG/IMU)?

Constraints

Low power consumption / autonomy
Robustness for industrial environments

Thank you very much for your time and insights.

Best regards,

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