Tutorialembedded systemsactivity recognitionrt thread
RT-Spark Implements Real-Time Activity Classification Using Edge Sensors
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7.0
A project designs and implements a full-stack IoT system that classifies user activities in real time using an RT-Thread RT-Spark board with an ICM20608 accelerometer/gyroscope and rw007 Wi‑Fi. Sensor data are sampled at the edge, sent via Wi‑Fi to a Firebase-backed cloud API for ML inference, and displayed in an Android app using Volley. The guide covers firmware, drivers, sampling, network, and mobile integration.
Scoring Rationale
Practical full-stack tutorial with reusable firmware and cloud integration; limited novelty and single-source implementation details.
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