Attenuated tactile sensation may occur on people who have skin trauma or prolonged glove usage. Such decreased sensation may cause patients to become less responsive to minute skin deformations and consequently fail to regulate their limbs properly. To mitigate such health conditions, an integrated tactile enhancement system that exceeds the human skin's sensitivity is indispensable for patients to regain the touch sensation of minute deformations. Here, we develop a visually aided tactile enhancement system for precise motion control by combining ultrathin, highly sensitive, crack-based strain sensors and signal acquisition circuit with real-time display equipment. By optimizing the thicknesses of the substrates and sensitive films of the strain sensors, our device has a detection limit as low as 0.01% and an ultrahigh gauge factor of 44 013 at a strain of 0.88%, which exceeds the performance of previous devices with crack-based strain sensors within minute strain range. The high sensitivity of the ultrathin crack-based strain sensor makes it possible for our visually aided tactile enhancement system to detect tiny deformations such as the slight brush of a feather, the fall of water droplets on fingers, and even the touch of invisible wires. Our study demonstrates promising applications of integrated visually aided tactile enhancement systems in human-machine interactions and artificial intelligence.
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Visually aided tactile enhancement system based on ultrathin highly sensitive crack-based strain sensors
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March 2020
Research Article|
February 18 2020
Visually aided tactile enhancement system based on ultrathin highly sensitive crack-based strain sensors
Jing Li
;
Jing Li
1
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
, Beijing 100083, People's Republic of China
2
College of Physics and Optoelectronic Engineering, Shenzhen University
, Shenzhen, 518060, China
3
School of Nanoscience and Technology, University of Chinese Academy of Sciences
, Beijing 100049, People's Republic of China
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Rongrong Bao
;
Rongrong Bao
1
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
, Beijing 100083, People's Republic of China
3
School of Nanoscience and Technology, University of Chinese Academy of Sciences
, Beijing 100049, People's Republic of China
4
Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University
, Nanning, Guangxi 530004, People's Republic of China
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Juan Tao
;
Juan Tao
1
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
, Beijing 100083, People's Republic of China
3
School of Nanoscience and Technology, University of Chinese Academy of Sciences
, Beijing 100049, People's Republic of China
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Ming Dong;
Ming Dong
5
Beijing Institute of Tracking and Telecommunications Technology
, Beijing 100094, People's Republic of China
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Yufei Zhang
;
Yufei Zhang
1
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
, Beijing 100083, People's Republic of China
3
School of Nanoscience and Technology, University of Chinese Academy of Sciences
, Beijing 100049, People's Republic of China
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Sheng Fu
;
Sheng Fu
1
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
, Beijing 100083, People's Republic of China
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Dengfeng Peng
;
Dengfeng Peng
2
College of Physics and Optoelectronic Engineering, Shenzhen University
, Shenzhen, 518060, China
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Caofeng Pan
Caofeng Pan
a)
1
CAS Center for Excellence in Nanoscience, Beijing Key Laboratory of Micro-nano Energy and Sensor, Beijing Institute of Nanoenergy and Nanosystems, Chinese Academy of Sciences
, Beijing 100083, People's Republic of China
2
College of Physics and Optoelectronic Engineering, Shenzhen University
, Shenzhen, 518060, China
3
School of Nanoscience and Technology, University of Chinese Academy of Sciences
, Beijing 100049, People's Republic of China
4
Center on Nanoenergy Research, School of Physical Science and Technology, Guangxi University
, Nanning, Guangxi 530004, People's Republic of China
a)Author to whom correspondence should be addressed: [email protected]
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a)Author to whom correspondence should be addressed: [email protected]
Appl. Phys. Rev. 7, 011404 (2020)
Article history
Received:
September 28 2019
Accepted:
January 17 2020
Connected Content
Citation
Jing Li, Rongrong Bao, Juan Tao, Ming Dong, Yufei Zhang, Sheng Fu, Dengfeng Peng, Caofeng Pan; Visually aided tactile enhancement system based on ultrathin highly sensitive crack-based strain sensors. Appl. Phys. Rev. 1 March 2020; 7 (1): 011404. https://doi.org/10.1063/1.5129468
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