Large range multi-axis fingertip force sensor

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.

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A Finger Grip Force Sensor with an Open-Pad Structure for Glove-Type Assistive Devices

Sensors ◽

10.3390/s20010004 ◽

2019 ◽

Vol 20 (1) ◽

pp. 4 ◽

Cited By ~ 1

Author(s):

Junghoon Park ◽

Pilwon Heo ◽

Jung Kim ◽

Youngjin Na

Keyword(s):

Degrees Of Freedom ◽

Grip Force ◽

Force Sensor ◽

Assistive Devices ◽

Finger Joint ◽

Assistive Device ◽

Force Estimation ◽

Joint Angles ◽

Fingertip Force ◽

Grasping Force

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.

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A large range and high resolution force sensor and its application to wire-pull tests

2012 7th IEEE Conference on Industrial Electronics and Applications (ICIEA) ◽

10.1109/iciea.2012.6360995 ◽

2012 ◽

Author(s):

Chen Wenjie ◽

Lin Wei ◽

Yang Guilin

Keyword(s):

High Resolution ◽

Large Range ◽

Force Sensor ◽

Pull Tests

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Error Factors Analysis of Large Range Flexible Jionts Six-Axis Force Sensor

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.130-134.4232 ◽

2011 ◽

Vol 130-134 ◽

pp. 4232-4235

Author(s):

Zhong Pan Shi ◽

Chang Tao Ding ◽

Yan Zhi Zhao ◽

Tie Shi Zhao

Keyword(s):

Large Range ◽

Force Sensor ◽

Structural Deformation ◽

Structure Model ◽

System Noise ◽

Factors Analysis ◽

Loading System ◽

Improvement Measures ◽

Calibration Matrix ◽

System Errors

In this article, a new large range flexible jionts 6-UPUR six-axis force sensor is proposed, its structure model, measuring principle and structure parameters are given, and error factors are analyzed. The influences of system noise, calibration matrix errors, processing and installation errors, structural deformation on the platform, hydraulic loading system and data acquisition system errors are dicussed and related improvement measures are suggested.

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