Advances in Soft Strain and Pressure Sensors

被引:0
|
作者
Nguyen, Duy Van [1 ,2 ]
Song, Pingan [3 ]
Manshaii, Farid [4 ]
Bell, John [3 ]
Chen, Jun [4 ]
Dinh, Toan [1 ,2 ]
机构
[1] Univ Southern Queensland, Sch Engn, Springfield Cent, Qld 4300, Australia
[2] Univ Southern Queensland, Ctr Future Mat, Springfield Cent, Qld 4300, Australia
[3] Univ Southern Queensland, Ctr Future Mat, Springfield Cent, Qld 4300, Australia
[4] Univ Calif Los Angeles, Dept Bioengn, Los Angeles, CA 90095 USA
关键词
specificity; temperature-independent; liquidrepellent; off-axis deformation insensitivity; nanomaterials; microstructure; strain sensors; pressure sensors; biophysical signals; ZERO-TEMPERATURE-COEFFICIENT; RESISTANT TRIBOELECTRIC NANOGENERATOR; THERMAL-EXPANSION; ELECTRICAL-CONDUCTIVITY; DIELECTRIC-CONSTANT; HUMIDITY SENSORS; HIGH-SENSITIVITY; WATER-PROOF; GRAPHENE; POLYURETHANE;
D O I
10.1021/acsnano.4c15134
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Soft strain and pressure sensors represent a breakthrough in material engineering and nanotechnology, providing accurate and reliable signal detection for applications in health monitoring, sports management, human-machine interface, or soft robotics, when compared to traditional rigid sensors. However, their performance is often compromised by environmental interference and off-axis mechanical deformations, which lead to nonspecific responses, as well as unstable and inaccurate measurements. These challenges can be effectively addressed by enhancing the sensors' specificity, making them responsive only to the desired stimulus while remaining insensitive to unwanted stimuli. This review systematically examines various materials and design strategies for developing strain and pressure sensors with high specificity for target physical signals, such as tactility, pressure distribution, body motions, or artery pulse. This review highlights approaches in materials engineering that impart special properties to the sensors to suppress interference from factors such as temperature, humidity, and liquid contact. Additionally, it details structural designs that improve sensor performance under different types of off-axis mechanical deformations. This review concludes by discussing the ongoing challenges and opportunities for inspiring the future development of highly specific electromechanical sensors.
引用
收藏
页码:6663 / 6704
页数:42
相关论文
共 50 条
  • [41] Recent advances in compact, smart vacuum, and gas pressure sensors
    Peacock, N
    Waits, RK
    SOLID STATE TECHNOLOGY, 2002, 45 (01) : 58 - +
  • [42] Soft areal tactile sensors with embedded semiconductor pressure sensors in a structured elastic body
    Mukai, T
    PROCEEDINGS OF THE IEEE SENSORS 2004, VOLS 1-3, 2004, : 1518 - 1521
  • [43] Development of soft areal tactile sensors for symbiotic robots using semiconductor pressure sensors
    Mukai, T
    IEEE ROBIO 2004: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, 2004, : 96 - 100
  • [44] A Soft Ionic Sensor for Simultaneous Pressure and Strain Measurements
    Gupte, A.
    Kinnicutt, L.
    McDonald, K.
    Ranzani, T.
    2020 3RD IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), 2020, : 266 - 271
  • [45] A Soft Pneumatic Gripper Integrated Strain and Piezoresistive Sensors for Grasping Detection
    Zhao, Xin
    Wang, Jianfeng
    Tang, Gangqiang
    Mei, Dong
    Zhao, Chun
    Wang, Yanjie
    INTELLIGENT ROBOTICS AND APPLICATIONS, ICIRA 2024, PT III, 2025, 15203 : 211 - 222
  • [46] Drift-Free Latent Space Representation for Soft Strain Sensors
    Thuruthel, Thomas George
    Gilday, Kieran
    Iida, Fumiya
    2020 3RD IEEE INTERNATIONAL CONFERENCE ON SOFT ROBOTICS (ROBOSOFT), 2020, : 138 - 143
  • [47] Multi-mode strain and curvature sensors for soft robotic applications
    White, Edward L.
    Case, Jennifer C.
    Kramer, Rebecca K.
    SENSORS AND ACTUATORS A-PHYSICAL, 2017, 253 : 188 - 197
  • [48] Sensing Skin for Detecting Wing Deformation with Embedded Soft Strain Sensors
    Shin, Hee-Sup
    Castano, Lina M.
    Humbert, J. Sean
    Bergbreiter, Sarah
    2016 IEEE SENSORS, 2016,
  • [49] Multi-Functional Soft Strain Sensors for Wearable Physiological Monitoring
    Hughes, Josie
    Iida, Fumiya
    SENSORS, 2018, 18 (11)
  • [50] A Method for Rapid Self-Calibration of Wearable Soft Strain Sensors
    Feng, Yaqing
    Chen, Xiangyu
    Wu, Qingxun
    Cao, Guofeng
    McCoul, David
    Huang, Bo
    Zhao, Jianwen
    IEEE SENSORS JOURNAL, 2021, 21 (18) : 20943 - 20950