Graphene Foam – Polymer Based Electronic Skin for Flexible Tactile Sensor

2021 ◽  
pp. 112697
Author(s):  
Xiaolan Tang ◽  
Rizwan Ur Rehman Sagar ◽  
Mingming Luo ◽  
Sehrish Aslam ◽  
Yixin Liu ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Graphene Foam ◽  
Electronic Skin

A flexible field-limited ordered ZnO nanorod-based self-powered tactile sensor array for electronic skin

Nanoscale ◽  
2016 ◽  
Vol 8 (36) ◽  
pp. 16302-16306 ◽  
Author(s):  
W. Deng ◽  
L. Jin ◽  
B. Zhang ◽  
Y. Chen ◽  
L. Mao ◽  
...  
Keyword(s):  
Sensor Array ◽  
Tactile Sensor ◽  
Zno Nanorod ◽  
Electronic Skin ◽  
Tactile Sensor Array ◽  
Self Powered

scholarly journals Review: Sensors for Biosignal/Health Monitoring in Electronic Skin

Polymers ◽  
2021 ◽  
Vol 13 (15) ◽  
pp. 2478
Author(s):  
Hyeon Seok Oh ◽  
Chung Hyeon Lee ◽  
Na Kyoung Kim ◽  
Taechang An ◽  
Geon Hwee Kim
Keyword(s):  
High Performance ◽  
Active Component ◽  
Tactile Sensor ◽  
Wearable Devices ◽  
Advanced Technology ◽  
Electronic Skin ◽  
Points Of View ◽  
External Stimuli ◽  
Flexible Component

Skin is the largest sensory organ and receives information from external stimuli. Human body signals have been monitored using wearable devices, which are gradually being replaced by electronic skin (E-skin). We assessed the basic technologies from two points of view: sensing mechanism and material. Firstly, E-skins were fabricated using a tactile sensor. Secondly, E-skin sensors were composed of an active component performing actual functions and a flexible component that served as a substrate. Based on the above fabrication processes, the technologies that need more development were introduced. All of these techniques, which achieve high performance in different ways, are covered briefly in this paper. We expect that patients’ quality of life can be improved by the application of E-skin devices, which represent an applied advanced technology for real-time bio- and health signal monitoring. The advanced E-skins are convenient and suitable to be applied in the fields of medicine, military and environmental monitoring.

Highly stretchable triboelectric tactile sensor for electronic skin

Nano Energy ◽  
2019 ◽  
Vol 64 ◽  
pp. 103907 ◽  
Author(s):  
Yu Cheng ◽  
Dan Wu ◽  
Saifei Hao ◽  
Yang Jie ◽  
Xia Cao ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Electronic Skin ◽  
Highly Stretchable

scholarly journals Tactile Sensors: MoS2 -Based Tactile Sensor for Electronic Skin Applications (Adv. Mater. 13/2016)

2016 ◽  
Vol 28 (13) ◽  
pp. 2555-2555 ◽  
Author(s):  
Minhoon Park ◽  
Yong Ju Park ◽  
Xiang Chen ◽  
Yon-Kyu Park ◽  
Min-Seok Kim ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Tactile Sensors ◽  
Electronic Skin

scholarly journals Inconsistency Calibrating Algorithms for Large Scale Piezoresistive Electronic Skin

Micromachines ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 162 ◽  
Author(s):  
Jinhua Ye ◽  
Zhengkang Lin ◽  
Jinyan You ◽  
Shuheng Huang ◽  
Haibin Wu
Keyword(s):  
Large Scale ◽  
Clustering Algorithm ◽  
Back Propagation ◽  
Tactile Sensor ◽  
Human Robot Interaction ◽  
Detection Accuracy ◽  
Position Information ◽  
Detection Model ◽  
Electronic Skin ◽  
Calibration Methods

In the field of safety and communication of human-robot interaction (HRI), using large-scale electronic skin will be the tendency in the future. The force-sensitive piezoresistive material is the key for piezoresistive electronic skin. In this paper, a non-array large scale piezoresistive tactile sensor and its corresponding calibration methods were presented. Because of the creep inconsistency of large scale piezoresistive material, a creep tracking compensation method based on K-means clustering and fuzzy pattern recognition was proposed to improve the detection accuracy. With the compensated data, the inconsistency and nonlinearity of the sensor was calibrated. The calibration process was divided into two parts. The hierarchical clustering algorithm was utilized firstly to classify and fuse piezoresistive property of different regions over the whole sensor. Then, combining the position information, the force detection model was constructed by Back-Propagation (BP) neural network. At last, a novel flexible tactile sensor for detecting contact position and force was designed as an example and tested after being calibrated. The experimental results showed that the calibration methods proposed were effective in detecting force, and the detection accuracy was improved.

MoS2 -Based Tactile Sensor for Electronic Skin Applications

2016 ◽  
Vol 28 (13) ◽  
pp. 2556-2562 ◽  
Author(s):  
Minhoon Park ◽  
Yong Ju Park ◽  
Xiang Chen ◽  
Yon-Kyu Park ◽  
Min-Seok Kim ◽  
...  
Keyword(s):  
Tactile Sensor ◽  
Electronic Skin
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