📄 中文摘要
开发者在长时间的编码过程中常常出现驼背现象，导致脊柱健康受损。为了解决这一问题，本文介绍了一种基于 TinyML、ESP32 和边缘人工智能的实时姿势矫正可穿戴设备的构建方法。通过使用 TensorFlow Lite for Microcontrollers 训练微型神经网络，能够在边缘设备上直接检测“驼背”和“良好姿势”，实现无云端、低延迟的姿势监测，帮助用户保持良好的坐姿。
别再驼背了！使用 ESP32 和 TensorFlow Lite 构建一个 TinyML 姿势监测器
📄 English Summary
Stop Slouching! Build a TinyML Posture Guardian with ESP32 and TensorFlow Lite 🚀
Developers often suffer from poor posture due to long hours spent coding, leading to spinal issues. To address this, a real-time posture correction wearable is proposed using TinyML, ESP32, and Edge AI. A micro-neural network is trained with TensorFlow Lite for Microcontrollers to detect 'Slouching' versus 'Good Posture' directly on the edge, enabling cloud-free, low-latency posture monitoring that helps users maintain proper sitting habits.