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研究生:張鵬誼
研究生(外文):CHANG, PENG-YI
論文名稱:在音樂節奏控制下之步態分析
論文名稱(外文):Gait Analysis of Rhythm Cues of Music
指導教授:王文楓王文楓引用關係
指導教授(外文):WANG, WEN-FONG
口試委員:連偉志林昭維黃胤傅
口試委員(外文):LIAN, WEI-ZHILIN, ZHAO-WEIHUANG, YIN-FU
口試日期:2016-07-20
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:資訊工程系
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2016
畢業學年度:104
語文別:中文
論文頁數:37
中文關鍵詞:音樂步態分析節奏步態變化
外文關鍵詞:MusicGait AnalysisTempoGait Changes
相關次數:
  • 被引用被引用:2
  • 點閱點閱:383
  • 評分評分:
  • 下載下載:55
  • 收藏至我的研究室書目清單書目收藏:0
音樂旋律時常出現在人們的生活當中,音樂都有它特定的節奏,這些節奏也許可以改變我們的步態節奏及步態參數,從這些步態變化我們可以更加了解音樂節奏對於人們行走時的影響,許多研究都是探討跑步機上的行走速度變化,因為在平地上行走的自由度較高,行走也較不受控制,我們利用穿戴式裝置來克服這些問題,想要了解人們正常行走時的步態是否會被外在的音樂旋律所影響,進而使用音樂節奏控制步頻並觀察步態參數。
我們利用三軸加速度測器模組來收集步態訊號,利用訊號與採樣頻率相同做同步,並選取節拍穩定的爵士音樂當作音樂節奏,請受測者將穿戴式裝置放置兩腳腳踝上,並赤腳行走於30公尺的平面磁磚上,且在七種不同狀態下行走,所收集到的訊號先做傅立葉轉換找出能量集中帶,利用巴特沃斯濾波器將雜訊去除,使用模極大值將訊號完整切割,透過訊號標準化找出步態特徵點與步態週期,即可知道節奏速度對於步態週期變化,步態參數的改變,及步態速度與步態特徵點的相關性。
利用穿戴式裝置就可以取得步態在平地上行走的參數,讓我們可以更輕易的取得資料,也了解到音樂節奏是可以用來改變人們的步態速度、步態週期、步態參數,利用相關性分析可以得到步態特徵點與節奏速度的關聯及每個步態特徵點之間的關聯,對於步態上的分析有更深入的了解。

Music is common in people’s lives and has its own specific tempos, which may change our gait speed and parameters, so we can know more about the effects of music tempos on people when they’re walking from these gait changes. Many researches have discussed mostly about the changes in the walking speed of the treadmill. As walking on flat ground is freer and uncontrollable, we use wearable devices to overcome these problems to see whether people’s gaits can be affected by music while they’re walking normally and then use music tempos to control the stride frequency and observe gait parameters.
We use 3-axis accelerometer module to collect gait signals, synchronize signals with the sampling frequency and select jazz which has a steady beat as the music rhythm; next, we ask the subjects to place the wearable devices around their ankles and walk barefoot 30 meters on the ceramic tiles in 7 different states; after that, we conduct Fourier transform to the collected signals to find out the energy concentration belt, use Butterworth filter to remove noises, segment signals with the modulus maxima and find out gait characteristics and cycles. Following the steps above, we can know the effects of the tempo on gait cycles and parameters, and the correlation between walking speed and gait characteristics.
The gait parameters of people walking on flat ground can be obtained using wearable devices, which can make us obtain data more easily and realize music tempos can be used to change people’s walking speed, gait cycles and gait parameters; the correlation between walking speed and gait characteristics, and between each gait characteristic can be known using the correlation analysis, from which we can get a deeper knowledge of gait analysis.

目錄
摘要 i
ABSTRACT ii
目錄 iii
圖目錄 iv
表目錄 v
第一章 緒論 1
第一節 研究背景 1
第二節 相關研究 1
第三節 動機與目的 2
第四節 研究問題 2
第五節 論文架構 2
第二章 研究材料 3
第一節 步態說明 3
第二節 音樂與節奏 4
第三節 三軸訊號同步與步態特徵點 5
第四節 實驗方法與設備 6
第三章 研究方法 8
第一節 實驗方法 8
第二節 訊號前處理 11
第三節 步態週期切割與參數萃取 13
第四節 步態的穩定性與身體平衡度 16
第五節 相關性分析 18
第四章 結果 20
第五章 結論與討論 28
參考文獻 29


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