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高齡健康與運動科學學士學位學程
course information of 113 - 2 | 2292 Health Technology Innovation Design and Application(健康科技創新設計與應用)

2292 - 健康科技創新設計與應用 Health Technology Innovation Design and Application


教育目標 Course Target

■ ※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) This course aims to systematically teach human posture testing and data analysis techniques through logical training to prevent students from losing their learning focus due to multi-code and complex syntax. Instead, they use timbered drag-type program design to make students focus on Application development and data rendering. This course will combine human posture detection technology with a multi-sensor sensor device (such as a heartbeat blood oxygen sensor), and combine it with a real-time interactive reaction device to guide students to design a real-time sports monitoring system to achieve long-term collection, cleaning, analysis and visualization of sports data. The course content includes basic posture testing and sports data analysis, which further extends to model training and system integration, allowing students to understand how to apply artificial intelligence technology to posture analysis, and apply results to sports quality improvement and health management. This course aims to cultivate students' ability to use logical thinking and creative solutions to solve practical problems. Through project implementation, a complete set of posture detection and data analysis systems are completed, laying the foundation for future application development in the Internet of Things and artificial intelligence fields.


參考書目 Reference Books

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 Network Application - Using ESP32 Developer and Arduino C Programming Language
https://www.books.com.tw/products/0010973569


評分方式 Grading

評分項目 Grading Method 配分比例 Grading percentage 說明 Description
平時表現 平時表現
Normal performance
30
期中分組報告期中分組報告
Mid-term division report
30
期末分組報告期末分組報告
Final division report
40

授課大綱 Course Plan

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Course Information

Description

學分 Credit:0-2
上課時間 Course Time:Thursday/7,8[ST023]
授課教師 Teacher:顏貽祥
修課班級 Class:健康與運動學程2
選課備註 Memo:
授課大綱 Course Plan: Open

選課狀態 Attendance

There're now 45 person in the class.
目前選課人數為 45 人。

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