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Gong Y, Zhang K, Lei IM, Wang Y, Zhong J. Advances in Piezoelectret Materials-Based Bidirectional Haptic Communication Devices. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024:e2405308. [PMID: 38895922 DOI: 10.1002/adma.202405308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Revised: 06/10/2024] [Indexed: 06/21/2024]
Abstract
Bidirectional haptic communication devices accelerate the revolution of virtual/augmented reality and flexible/wearable electronics. As an emerging kind of flexible piezoelectric materials, piezoelectret materials can effortlessly convert mechanical force into electrical signals and respond to electrical fields in a deformation manner, exhibiting enormous potential in the construction of bidirectional haptic communication devices. Existing reviews on piezoelectret materials primarily focus on flexible energy harvesters and sensors, and the recent development of piezoelectret-based bidirectional haptic communication devices has not been comprehensively reviewed. Herein, a comprehensive overview of the materials construction, along with the recent advances in bidirectional haptic communication devices, is provided. First, the development timeline, key characteristics, and various fabrication methods of piezoelectret materials are introduced. Subsequently, following the underlying mechanisms of bidirectional electromechanical signal conversion of piezoelectret, strategies to improve the d33 coefficients of materials are proposed. The principles of haptic perception and feedback are also highlighted, and representative works and progress in this area are summarized. Finally, the challenges and opportunities associated with improving the overall practicability of piezoelectret materials-based bidirectional haptic communication devices are discussed.
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Affiliation(s)
- Yanting Gong
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Kaijun Zhang
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Iek Man Lei
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Yan Wang
- Department of Chemical Engineering, Guangdong Technion-Israel Institute of Technology (GTIIT), Shantou, Guangdong, 515063, China
| | - Junwen Zhong
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
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Li Z, Liu Z, Xu S, Zhang K, Zhao D, Pi Y, Guan X, Peng Z, Zhong Q, Zhong J. Electrostatic Smart Textiles for Braille-To-Speech Translation. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2313518. [PMID: 38502121 DOI: 10.1002/adma.202313518] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Revised: 02/25/2024] [Indexed: 03/20/2024]
Abstract
A wearable Braille-to-speech translation system is of great importance for providing auditory feedback in assisting blind people and people with speech impairment. However, previous reported Braille-to-speech translation systems still need to be improved in terms of comfortability or integration. Here, a Braille-to-speech translation system that uses dual-functional electrostatic transducers which are made of fabric-based materials and can be integrated into textiles is reported. Based on electrostatic induction, the electrostatic transducer can either serve as a tactile sensor or a loudspeaker with the same design. The proposed electrostatic transducers have excellent output performances, mechanical robustness, and working stability. By combining the devices with machine learning algorithms, it is possible to translate the Braille alphabet and 40 commonly used words (extensible) into speech with an accuracy of 99.09% and 97.08%, respectively. This work demonstrates a new approach for further developments of advanced assistive technology toward improving the lives of disabled people.
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Affiliation(s)
- Zhaoyang Li
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Zhe Liu
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Sumei Xu
- School of Microelectronics, Shanghai University, Shanghai, 201800, China
| | - Kaijun Zhang
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Dazhe Zhao
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Yucong Pi
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Xiao Guan
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
| | - Zhengchun Peng
- School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Qize Zhong
- School of Microelectronics, Shanghai University, Shanghai, 201800, China
| | - Junwen Zhong
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR, 999078, China
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Park J, Lee Y, Cho S, Choe A, Yeom J, Ro YG, Kim J, Kang DH, Lee S, Ko H. Soft Sensors and Actuators for Wearable Human-Machine Interfaces. Chem Rev 2024; 124:1464-1534. [PMID: 38314694 DOI: 10.1021/acs.chemrev.3c00356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2024]
Abstract
Haptic human-machine interfaces (HHMIs) combine tactile sensation and haptic feedback to allow humans to interact closely with machines and robots, providing immersive experiences and convenient lifestyles. Significant progress has been made in developing wearable sensors that accurately detect physical and electrophysiological stimuli with improved softness, functionality, reliability, and selectivity. In addition, soft actuating systems have been developed to provide high-quality haptic feedback by precisely controlling force, displacement, frequency, and spatial resolution. In this Review, we discuss the latest technological advances of soft sensors and actuators for the demonstration of wearable HHMIs. We particularly focus on highlighting material and structural approaches that enable desired sensing and feedback properties necessary for effective wearable HHMIs. Furthermore, promising practical applications of current HHMI technology in various areas such as the metaverse, robotics, and user-interactive devices are discussed in detail. Finally, this Review further concludes by discussing the outlook for next-generation HHMI technology.
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Affiliation(s)
- Jonghwa Park
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Youngoh Lee
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Seungse Cho
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Ayoung Choe
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Jeonghee Yeom
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Yun Goo Ro
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Jinyoung Kim
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Dong-Hee Kang
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Seungjae Lee
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
| | - Hyunhyub Ko
- School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan Metropolitan City 44919, Republic of Korea
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Feng S, Xue Y, Huang J, Yang X. Ferrocene-Functionalized Covalent Organic Frameworks and Target Catalyzed Hairpin Assembly Strategy for Amplified Electrochemical Determination of MicroRNAs. Anal Chem 2022; 94:16945-16952. [DOI: 10.1021/acs.analchem.2c04482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Affiliation(s)
- Sinuo Feng
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Yu Xue
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China
- University of Science and Technology of China, Hefei, Anhui 230026, China
| | - Jianshe Huang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China
| | - Xiurong Yang
- State Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, Jilin 130022, China
- University of Science and Technology of China, Hefei, Anhui 230026, China
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Hu H. Smart polydimethylsiloxane sponges with high piezoelectric responses. POLYM ENG SCI 2022. [DOI: 10.1002/pen.26158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Hang Hu
- School of Mechanical Engineering and Automation Beihang University Beijing People's Republic of China
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Qiu W, Li Z, Wang G, Peng Y, Zhang M, Wang X, Zhong J, Lin L. A Moisture-Resistant Soft Actuator with Low Driving Voltages for Haptic Stimulations in Virtual Games. ACS APPLIED MATERIALS & INTERFACES 2022; 14:31257-31266. [PMID: 35776539 DOI: 10.1021/acsami.2c06209] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Strong and robust stimulations to human skins with low driving voltages under high moisture working conditions are desirable for wearable haptic feedback applications. Here, a soft actuator based on the "air bubble" electret structure is developed to work in high-moisture environments and produce haptic sensations to human skin with low driving voltages. Experimentally, the water soaking and drying process has been conducted repeatedly for the first time and the 20th time to test the antimoisture ability of the actuator as it recovers its output force up 90 and 65% of the initial value, respectively. The threshold voltages for sensible haptic sensations for the fingertip and palm of volunteers have been characterized as 7 and 10 V, respectively. Furthermore, a demonstration example has been designed and conducted in a virtual boxing game to generate the designated haptic sensations according to the gaming conditions with an accuracy of 98% for more than 100 tests. As such, the design principle, performance characteristic, and demonstration example in this work could inspire various applications with improved reliability for wearable haptic devices.
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Affiliation(s)
- Wenying Qiu
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
- Tsinghua Shenzhen International School, Tsinghua University, Shenzhen 518055, China
- Department of Mechanical Engineering, University of California at Berkeley, Berkeley, California 94720, United States
- China Academy of Industrial Internet, Beijing 100020, China
| | - Zhaoyang Li
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR 999078, China
| | - Guocheng Wang
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
- Tsinghua Shenzhen International School, Tsinghua University, Shenzhen 518055, China
| | - Yande Peng
- Department of Mechanical Engineering, University of California at Berkeley, Berkeley, California 94720, United States
| | - Min Zhang
- Tsinghua Shenzhen International School, Tsinghua University, Shenzhen 518055, China
| | - Xiaohao Wang
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
- Tsinghua Shenzhen International School, Tsinghua University, Shenzhen 518055, China
| | - Junwen Zhong
- Department of Electromechanical Engineering and Centre for Artificial Intelligence and Robotics, University of Macau, Macau, SAR 999078, China
- Department of Mechanical Engineering, University of California at Berkeley, Berkeley, California 94720, United States
| | - Liwei Lin
- Tsinghua-Berkeley Shenzhen Institute, Tsinghua University, Shenzhen 518055, China
- Department of Mechanical Engineering, University of California at Berkeley, Berkeley, California 94720, United States
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