2019
DOI: 10.1007/s00779-019-01268-3
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Grip strength forecast and rehabilitative guidance based on adaptive neural fuzzy inference system using sEMG

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Cited by 79 publications
(64 citation statements)
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“…In this paper, the pre-fusion method is adopted, and the color information and depth information are used for occlusion gesture recognition. Because the color map and depth map are aligned, the color map and its corresponding depth map are fused to get four channel images, [54][55][56] and then they are processed together with the label file to get the test set and training set of the fusion data of self-occlusion gesture and object occlusion gesture in Tensorflow framework.…”
Section: Data Preprocessingmentioning
confidence: 99%
“…In this paper, the pre-fusion method is adopted, and the color information and depth information are used for occlusion gesture recognition. Because the color map and depth map are aligned, the color map and its corresponding depth map are fused to get four channel images, [54][55][56] and then they are processed together with the label file to get the test set and training set of the fusion data of self-occlusion gesture and object occlusion gesture in Tensorflow framework.…”
Section: Data Preprocessingmentioning
confidence: 99%
“…Before the stress field analysis, the ladle was divided into grids, and a fine grid was separately divided for the area of the ladle shell and the hoop plate, rib plate, and trunnion. 61 Then the temperature field results in the previous article are loaded into the stress analysis. From the analysis of the temperature field under ladle baking and holding conditions, the temperature distribution under the two working conditions is roughly the same.…”
Section: Boundary Conditions and Solutionmentioning
confidence: 99%
“…Before the stress field analysis, the ladle was divided into grids, and a fine grid was separately divided for the area of the ladle shell and the hoop plate, rib plate, and trunnion 61 . Then the temperature field results in the previous article are loaded into the stress analysis.…”
Section: Stress Field Analysis Of Designed Ladlementioning
confidence: 99%
“…This robot is flexible to suit to the physiological characteristics of the patient. [27][28][29] However, the patient's left and right legs are not fixed, and the movement gait is easily deformed during the rehabilitation process. The horizontal robot is only suitable for early bed training for rehabilitation patients, and its functions are limited.…”
Section: Related Workmentioning
confidence: 99%