Precision refractometer with simple measuring prism

1954 ◽  
Vol 3 (1) ◽  
pp. 119-124
Author(s):  
A. C. S. Heel
2014 ◽  
Vol 915-916 ◽  
pp. 1234-1237
Author(s):  
Jun Jun Li ◽  
Xin Wei Yang ◽  
Wen Guang Shi

The surface displacement of soil mass is an important standard for safety in civil engineering. In this paper, white light digital image analysis in frequency domain is introduced tomeasure surface displacement of soil mass. This method has the characteristics of whole-field, non-contact measurement and the simple measuring system and can obtain displacements by frequency domination correlation arithmetic. Surface displacements of soil mass are obtained by white light digital image analysis in frequency domain. Comparing the experimental results and the theoretical values, the little error exists and the usefulness of this method is certified.


1990 ◽  
Vol 46 (8) ◽  
pp. 1167
Author(s):  
Makoto Inoue ◽  
Mitsuji Higashida ◽  
Shinichi Watanabe ◽  
Masakatsu Hatagawa

Author(s):  
Kazuya Funada ◽  
Jinglong Wu ◽  
Satoshi Takahashi

In rehabilitating hemiplegic patients, purposeful movements such as the opening and closing of hands are reported to be more effective than passive movement with an instrument. The authors of this chapter used surface electromyogram (surface EMG) signals as a way to convey the patient’s conscious ability to open and close their hands. The muscles in the forearm contract when the hand is closed or opened, which creates a simple signal that is comparatively easy to measure with surface EMG, a simple measuring device. The action potentials of the muscles involved in the opening-and-closing motions of hands were measured from several points in the forearm when those muscles contracted, and their distribution was analyzed. The purpose of this study is to develop a simple system to recognize the movement of a patient’s hand using measurements of EMG signals from only the most characteristic points on the forearm to replace similar, but more complex, research such as multi-channel measurement and wave analysis by FFT. The authors specified the optimum measuring points on the palm and dorsal sides of the forearm for the recognition of hand motion by the experimental system. This system successfully recognized hand motion through the analysis of the surface EMG signals measured from only two optimum points to allow arbitrary control of the rehabilitation device based on the recognition results.


2017 ◽  
Vol 88 (11) ◽  
pp. 113110 ◽  
Author(s):  
Lei Wang ◽  
Tongyu Yang ◽  
Zhong Wang ◽  
Yuchen Ji ◽  
Changjie Liu ◽  
...  
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