人體姿勢矯正項鍊配載影像辨識自動校準及手機接收警告系統

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姓名

梁智彥(Chih-Yen Liang) 查詢紙本館藏

畢業系所

電機工程學系

論文名稱

人體姿勢矯正項鍊配載影像辨識自動校準及手機接收警告系統
(The Necklace for Human Posture Correction Combined with Image Recognition for Automatic Correction and Smart Phone for Receiving Warnings)

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至系統瀏覽論文 ( 永不開放)

摘要(中)

本論文開發一套基於穿載式裝置與感測器技術之新穎人體姿勢矯正系統，其由智慧項鍊、智慧型手機、與個人電腦三個子系統構成。智慧項鍊內具陀螺儀及三軸加速度計，配戴於頸部後，藉由它收集的重力加速度值及經過分析後，能判斷人體上半身姿勢。當姿勢不良時，我們設計項鍊發送提醒訊息至手機。此時我們開發手機APP使其能夠接收項鍊端發出的訊息，設定項鍊標準值、提醒時間等參數值，及啟動個人電腦的影像校準功能。個人電腦採用深度攝影機的資料讀取，辨識人體骨架，找出關節參考點，透過參考點運算，直接傳訊到項鍊來校準其標準值。此提出的系統能夠達成：(1)無須穿著厚重及悶熱的矯正衣，達到自我修正姿勢；(2)透過影像達到快速校準項鍊裝置標準值；(3)項鍊、手機、個人電腦等，各界面溝通採無線傳輸，省去接線之複雜度，有效實現物聯網應用。

摘要(英)

This paper proposes a novel human posture correction system based on wearable device and sensor technology. It consists of three subsystems: smart necklace, smart phone, and personal computer. The smart necklace is equipped with a gyroscope and a triaxial accelerometer. After being worn on the neck, the gravity acceleration value collected by it and after analysis can determine the upper body posture of the human body. When the posture is bad, we design the necklace to send a reminder message to the mobile phone. At this time, we developed the mobile phone APP so that it can receive the message sent from the necklace end, set the standard value in the necklace, the reminder time and other parameters, and start the image correction function of the personal computer. Personal computers use data from depth cameras to identify human skeletons and find joint reference points. Through reference point operations, the personal computer communicates directly to the smart necklace to correct its standard value. The research project is expected to achieve the following goals: (1) Don’t need to wear heavy corset to achieve self-correction pose. (2) Through the image recognition to quickly correct the standard value of the smart necklace. (3) Wisdom necklaces, mobile phones, personal computers, etc. All interfaces communicate wirelessly to each other to eliminate the complexity of wiring, effectively implement the Internet of things applications

關鍵字(中)

★ 穿戴式裝置
★ 人體姿態辨識
★ 影像辨識
★ 物聯網

關鍵字(英)

★ Wearable Devices
★ Human Body Posture Recognition
★ Image Recognition
★ Internet of Things

論文目次

摘要 i
ABSTRACT ii
誌謝 iv
目錄 v
圖目錄 vii
表目錄 ix
第一章緒論 1
1-1 研究背景與動機 1
1-2 文獻回顧與探討 2
1-3 主要貢獻 5
1-4 論文架構 5
第二章軟硬體與系統架構 6
2-1 外部硬體 6
2-2 系統架構 9
2-3 三個子系統於初始化參數設定之互動 10
第三章智慧項鍊 12
3-1 人體姿勢辨識 12
3-2 與手機通訊程式 22
第四章個人電腦端 23
4-1 影像辨識人體骨架 23
4-2 校準方法 24
第五章手機介面及通訊設計 25
5-1 通訊協定 25
5-2 手機介面 26
第六章實驗結果與討論 29
6-1 智慧項鍊之三軸加速度數值與傾斜角度關係 30
6-2 影像自動校準智慧項鍊 32
6-3 手機操作項鍊裝置 38
第七章結論與未來展望 44
7-1 結論 44
7-2 未來展望 44
參考文獻 45

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指導教授

鍾鴻源莊堯棠(Hung-Yuan Chung Yau-Tarng Juang)

審核日期

2018-7-24

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