Smart Interactive Wearable Posture Correction System Using Raspberry Pi Pico W and Cloud Analytics

The proliferation of sedentary occupations and the ubiquitous use of computational devices have precipitated a global surge in posture-related musculoskeletal disorders. This paper presents the design of an IoTenabled wearable posture correction system utilizing a Raspberry Pi Pico W microcontroller. The proposed arrangement comprises an MPU6050 Inertial Measurement Unit (IMU) to track cervical inclination, a resistive flex sensor for thoracic curvature measurement, an SX1308 boost converter for power regulation, and a vibration motor for haptic biofeedback. To prevent false-positive alerts during transient daily movements, the edge firmware employs a 5-second hysteresis algorithm. Beyond localized tactile actuation, the system leverages the MQTT protocol to stream kinematic telemetry over Wi-Fi to a cloud broker and MySQL database. Users interact with the system via "Posture App," a Python-based desktop application offering real-time dual-axis graph visualization and personalized threshold calibration. The project report frames the contribution as an integrated prototype design and control architecture for long-term ergonomic tracking.