Grasping Force Estimation by sEMG Signals and Arm Posture: Tensor Decomposition Approach

2019 ◽  
Vol 16 (3) ◽  
pp. 455-467 ◽  
Author(s):  
Sanghyun Kim ◽  
Joowan Kim ◽  
Mingon Kim ◽  
Seungyeon Kim ◽  
Jaeheung Park
2020 ◽  
Vol 59 (3) ◽  
pp. 1135-1147 ◽  
Author(s):  
Ruyi Ma ◽  
Leilei Zhang ◽  
Gongfa Li ◽  
Du Jiang ◽  
Shuang Xu ◽  
...  

Sensors ◽  
2019 ◽  
Vol 20 (1) ◽  
pp. 4 ◽  
Author(s):  
Junghoon Park ◽  
Pilwon Heo ◽  
Jung Kim ◽  
Youngjin Na

This paper presents a fingertip grip force sensor based on custom capacitive sensors for glove-type assistive devices with an open-pad structure. The design of the sensor allows using human tactile sensations during grasping and manipulating an object. The proposed sensor can be attached on both sides of the fingertip and measure the force caused by the expansion of the fingertip tissue when a grasping force is applied to the fingertip. The number of measurable degrees of freedom (DoFs) are the two DoFs (flexion and adduction) for the thumb and one DoF (flexion) for the index and middle fingers. The proposed sensor allows the combination with a glove-type assistive device to measure the fingertip force. Calibration was performed for each finger joint angle because the variations in the expansion of the fingertip tissue depend on the joint angles. The root mean square error (RMSE) for fingertip force estimation ranged from 3.75% to 9.71% after calibration, regardless of the finger joint angles or finger posture.


2018 ◽  
Vol 271 ◽  
pp. 124-130 ◽  
Author(s):  
Takashi Takizawa ◽  
Takahiro Kanno ◽  
Ryoken Miyazaki ◽  
Kotaro Tadano ◽  
Kenji Kawashima

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