本系統採用小型加速度計為感測元件，並將其固定在手指上，利用手指運動方向的力所產生的動態類比電壓值和加速度計其2個軸向相對於地球重力的位置所產生的靜態類比電壓值，經微處理器作多通道的AD轉換，再將數位化後的資料採用無線RF Module或有線串列的傳輸方式，即時傳送至電腦，也可先將數位資料儲存於Flash Memory中，等到需要時再讀取Flash Memory中的資料到電腦，形成一套可攜式的系統。

　　並利用LabVIEW圖控程式作資料的分析和處理來得到其手指運動方向的加速度和彎曲的角度，若加入時間變數可進一步得到其它的相關參數資訊，並存成文字檔，以提供更進一步的統計，且利用本系統所量測到的手部相關參數達到幾個功能目的(1)手指力量量測(2)手指關節角度量測(3)靜態手部姿勢識別。

　　本系統可以應用至幾個需要用到手部當輸入裝置的應用例上，例如穿戴式電腦的輸入裝置、虛擬實境的感應手套…等。而本論文將其應用在醫療復健的領域，用來評估系統的實用性和可靠度。

　The system adopts a small-scale accelerometer, and fix it on the finger. The dynamic analog voltage is produced by the strength of movement direction of the finger and the static analog voltage is produced by the dual-axis compare with the position of the earth gravity force. The multi-channel analog voltage would be converted to digital value by microprocessor and then the digital data would be transferred to the computer immediately by wireless RF Module or the serial port communication. Or we can store the digital value into Flash Memory, and read the data to the computer from Flash Memory while it is needed, therefore the system will become portable.

　The data is analyzed and dealt by LabVIEW to get the acceleration of movement direction of the finger and the crooked angle. If the time variable can be added then we can get further parameters and the result would be saved as text files for further statistics. We can use the hand parameter from the system to reach several functions (1) The strength of the finger (2) The angle of the finger joint (3) Static hand gesture recognition.

　The system can be used to several example that utilize the hand as an input device. For example: the input device of the wearable computer, the virtual reality glove and etc. In this paper we apply this system to medical rehabilitation and estimate the practicability and reliability of our system.

【1】Sheng Li, Mark L. Latash, Guang H. Yue, Vlodek Siemionow, Vinod Sahgal,“The effects of stroke and age on finger interaction in multi-finger force production tasks”, Clinical Neurophysiology, Vol. 114, pp 1646-1655, 2003.
【2】Agnès Roby-Brami, Stéphane Jacobs, Nezha Bennis, Mindy F. Levin,“Hand orientation for grasping and arm joint rotation patterns in healthy subjects and hemiparetic stroke patients”, Vol. 969, pp 217-229, 2003.
【3】溫文仲，手功能評估，國立成功大學醫學工程研究所碩士論文，1995。
【4】蘇芳慶、邱浩遠、劉勝賢、徐秀雲，面積量測在手指運動功能損傷評估之應用，中華醫學工程學刊，第十六卷第二期，pp.149-157，1996.6。
【5】李明義、陸清松、鄭智仁、張智仁，手掌部運動控制功能評估及訓練系統之雛形開發，中華醫學工程學刊，第十九卷第二期，pp.151-157，1999.6。
【6】史傑州，應用感應手套模擬手部復健評估，國立成功大學工業設計學系碩士論文，2000。
【7】David J. Sturman, David Zeltzer,“A Survey of Glove-based Input”, IEEE Computer Graphics & Applications, Vol. 14, No. 1, pp 30-39, 1994.
【8】Richard Barnett, Larry O’Cull, Sarah Cox,“Embedded C Programming and the Atmel AVR”, THOMSON DELMAR LEARNING.
【9】ANALOG DEVICES TECHNICAL NOTE,“USING THE ADXL202 ACCELEROMETER AS A MULTIFUNCTION SENSOR (TILT, VIBRATION AND SHOCK) IN CAR ALARMS”, http://www.analog.com/
【10】林茂村、林正常、曾煥華，疲勞與體能的科學，銀禾文化事業有限公司，1988.10。
【11】行政院勞工委員會勞工安全衛生研究所、國立陽明醫學院公共衛生研究所 編印，勞動疲勞測定方法技術探討，1993.6。
【12】S. Sidney Fels, Geoffrey E. Hinton,“Glove-Talk: A Neural Network Interface Between a Data-Glove and a Speech Synthesizer”, IEEE Transactions on Neural Networks, Vol. 4, No. 1, pp 2-8, 1993.
【13】S. Sidney Fels, Geoffrey E. Hinton,“Glove-Talk II: A Neural-Network Interface which Maps Gestures to Parallel Formant Speech Synthesizer Controls”, IEEE Transactions on Neural Networks, Vol. 8, No. 5, pp 977-984, 1997.
【14】Aaron Toney, “A Novel Method for Joint Motion Sensing on a Wearable Computer”, Second International Symposium on Wearable Computers, pp 158-159, 1998.
【15】John Kangchun Perng, Brian Fisher, Seth Hollar, Kristofer S. J. Pister,“Acceleration Sensing Glove (ASG)”, The Third International Symposium on Wearable Computers, pp 178-180, 1999.
【16】Robert Rosenberg, Mel Slater,“The Chording Glove: A Glove-Based Text Input Device”, IEEE Transactions on Systems, Vol. 29, No. 2, pp 186-191, 1999
【17】Myung-Chul Cho, Kwang-Hyun Park, Soon-Hyuk Hong, Jae Wook Jeon, Sung Lee, Hyuckyeol Choi, Hoo-Gon Choi,“A Pair of Braille-Based Chord Gloves”, Sixth International Symposium on Wearable Computers, pp 154-155, 2002.