Study on fingertip force sensor based on measurement of tendon tension

2019 ◽  
Vol 59 (3) ◽  
pp. 1119-1126
Author(s):  
Takeshi Okuyama ◽  
Kouhei Kobayashi ◽  
Mami Tanaka
Author(s):  
Haruki YAMAMOTO ◽  
Takuma AKIDUKI ◽  
Atsuo HONNA ◽  
Tomoaki MASIMO

2015 ◽  
Vol 780 ◽  
pp. 1-5
Author(s):  
Khairunizam Wan ◽  
H.E. Nabilah ◽  
Nor Farahiya ◽  
M. Hazwan Ali ◽  
Rashidah Suhaimi ◽  
...  

Modernization of human technologies overtime results the need of more freedom technology likes the use of natural interaction to replace a current trend interface devices such as joysticks, mice, keyboards and other related output devices. Dataglove is one of the interface devices that could serve a natural interaction between user and computers. In this paper, a dataglove called GloveMAP is introduced which has the capability of measuring fingertip force. The flexible force sensors are attached to the fingers location of the glove. Several object grasping experiments are conducted and the grasping force signals are measured. A Gaussian filter is introduced to smoothen the acquired force signals.


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.


2010 ◽  
Vol 35 (3) ◽  
pp. 574-583 ◽  
Author(s):  
Qiaokang Liang ◽  
Dan Zhang ◽  
Quanjun Song ◽  
Yunjian Ge

Sensor Review ◽  
2004 ◽  
Vol 24 (1) ◽  
Author(s):  
Jon Rigelsford
Keyword(s):  

Author(s):  
Mohammad Nasser Saadatzi ◽  
Sumit K. Das ◽  
Indika B. Wijayasinghe ◽  
Dan O. Popa ◽  
Joshua R. Baptist
Keyword(s):  

Author(s):  
Qiaokang Liang ◽  
Dan Zhang ◽  
Zhongzhe Chi ◽  
Yunjian Ge

Control strategies for robotic manipulators in underwater applications are still immature compared with the strategies of the manipulators on land. Part of the reason is that there is no precise force/torque information, which is essential to the close-loop control. Unlike the sensor applied on the ground, the sensors for underwater applications have to endure the high-pressure, low-temperature and corrosive environment. Therefore, aimed at obtaining the accurate interaction force/torque between underwater robot manipulators and objects, a novel four-dimensional fingertip force sensor is presented based on e-type membrane for underwater robot manipulators. A seal technique is described. Experimental results demonstrate the design could detect force/torque with good linearity, high sensitivity and weak couplings.


Sign in / Sign up

Export Citation Format

Share Document