智慧型步行復健系統

為了能讓下肢運動不便的病患早日恢復以往的行動能力，本論文設計了一套智慧型步行復健系統，系統以攝影機做為輸入裝置拍攝復健者之即時步行影像，並於畫面中定義出啟動與停止區域，透過差異運動分析法計算出兩區域的變動量，進而決定步行復健機之啟動或停止。本系統還具有自動調速功能，其原理則是以光流為概念，運用區塊比對法統計出各變動量之移動向量，藉此推估復健者之移動速度。經實驗證明，本系統確實能夠透過上述方法推算出復健者的即時位置與相關步態資訊，使步行復健機能夠根據復健者之步行速度而自動調整馬達轉速，達到居家自主復健的目的。

關鍵字

步行復健；差異運動分析；光流；自動調速

並列摘要

In order to allow patient with lower extremity impairment to recover and regain its act, in this thesis, we design an intelligent walking rehabilitation system. The system uses a video camera as input device to measurement the movement of a walking patient. In the image grabbed by the video camera, we defined both the start and stop regions. When the patient appears in these two regions, the difference motion analysis method is applied to calculate the amount of intensity changed in the region to act the walking machine start or stop. This system also has an adaptive speed control function. This function is achieved by using the optical flow concept, which uses the block matching algorithm to calculate the difference of moving vector. By this function, the speed of the patient moving can be estimated. Approved by experiments, this system can automatic adjust the motor speed of the walking machine to adaptive the different speed of patient walking on the walking machine and accomplish the goal of self-rehabilitation at home.

並列關鍵字

Walking rehabilitation ； Difference motion analysis ； Optical flow ； Adaptive speed control

參考文獻

[1] 林正議，“以微控制器為基礎的智慧型跑步機系統研製”，國立中央大學電機工程研究所碩士論文，中華民國96年4月。

[8] 陳俊孜，“以系統晶片為平台之智慧型跑步機研究”，長庚大學醫療機電工程研究所碩士論文，中華民國97年。

[10] N. Otsu, “A threshold selection method from gray-level histograms,” IEEE Transactions on Systems, Man and Cybernetics, vol. 9, Jan, 1979.

[11] B. K. P. Horn, and B. G. Schunck, “Determining optical flow,” Artificial Intelligence, Vol. 17, pp. 185-203, 1981.

[13] S. H. Lai, and B. C. Vemuri, “Robust and efficient algorithms for optical flow computation,” Proceeding of IEEE International Conference on Computer Vision, pp. 455-460, 1995.

國際替代計量

智慧型步行復健系統

未授權

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