| Summary: | 碩士 === 國立臺灣大學 === 生醫電子與資訊學研究所 === 100 === A “data glove” is a glove-like input device for human-computer interaction, It''s commonly used to acquire the physical information (e.g. bending angle of the finger) from several sensors attached on the fingers (or palm) for further data analysis and process. For previous study, the virtual reality can promote patients’ will to receive hand rehabilitation program and provide more efficiency than conventional treatments.
There are several types of data glove, all of which are different in style and design, However, some disadvantages such as large size (some are not adequate for children), nonlinearity, frangible, etc. limited the application in treatments. Therefore, in this research, we try to apply a small volume and light weight 3-axis accelerometer to develop a novel data glove for hand rehabilitation without the drawbacks of conventional data gloves.
This thesis proposed a new methodology for application technology of accelerometer. It use Newton''s Mechanics and by the method of mathematical derivation to get the bending angle of the finger joint.
Two ADXL327 accelerometers attached on a small mechanical arm were used to simulate the human finger joints, and a 16 bits MSP430F1612 microcontroller was chosen as the system core, it performs real-time A/D conversion, real-time calculation of the acceleration, tilt angle and bending angle in sequence. The calculated joint angle was transmitted to the PC through a I/O device and display its data and waveform in LabVIEW environment. The results showed the error range of the angle is within 3 degrees in general case. Compared to the joint goniometer with accuracy of 5 degrees for measuring the finger bending angle, this research has been able to meet the demand.
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