■ ※課程目標及內涵 (Course Objectives and Contents) (限1950中文字)
本課程旨在透過邏輯訓練的方式，系統化教授人體姿勢檢測與數據分析技術，避免學生因過多程式碼與複雜語法而失去學習重心，改以積木化拖曳式程式設計進行操作，使學生專注於應用開發與數據呈現。本課程將結合人體姿勢檢測技術與多元感測裝置（如心跳血氧感測器），搭配即時互動反應裝置引導學生設計即時運動監測系統，實現運動數據的長期蒐集、清理、分析與可視化。
課程內涵包括基礎姿勢檢測與運動數據分析，進一步延伸至模型訓練與系統整合，讓學生了解如何應用人工智慧技術進行姿勢分析，並將結果應用於運動質量提升及健康管理。本課程旨在培養學生運用邏輯思維與創意解決實際問題的能力，藉由專案實作，完成一套完整的姿勢檢測與數據分析系統，為未來在物聯網與人工智慧領域的應用開發奠定基礎

■ ※Course Objectives and Contents (limited to 1950 Chinese characters)
This course aims to systematically teach human posture detection and data analysis technology through logic training, so as to prevent students from losing the focus of learning due to too many codes and complex syntax. Instead, it uses building-block drag-and-drop programming to operate, allowing students to focus on application development and data presentation. This course will combine human posture detection technology with multiple sensing devices (such as heartbeat and blood oxygen sensors), and real-time interactive response devices to guide students in designing a real-time motion monitoring system to achieve long-term collection, cleaning, analysis and visualization of motion data.
The content of the course includes basic posture detection and sports data analysis, and further extends to model training and system integration, allowing students to understand how to apply artificial intelligence technology for posture analysis, and apply the results to improve sports quality and health management. This course aims to cultivate students' ability to use logical thinking and creativity to solve practical problems. Through project implementation, they can complete a complete posture detection and data analysis system, laying the foundation for future application development in the fields of Internet of Things and artificial intelligence.

IoT物聯網應用 - 使用ESP32開發板與Arduino C程式語言
https://www.books.com.tw/products/0010973569

IoT Internet of Things Application - Using ESP32 development board and Arduino C programming language
https://www.books.com.tw/products/0010973569