Hydrogel Strain Sensors Based on Ordered Iron Nanowires for Human-Machine Interaction

被引:0
|
作者
Chen, Qiao [1 ]
Du, Shengcai [1 ]
Guo, Qisheng [1 ]
Zhou, Yvchen [1 ]
Tian, Yunmei [2 ]
Sun, Ruixue [1 ]
Yang, Pingan [1 ]
Wu, Decheng [1 ]
Zhou, Zhihao [1 ]
Li, Rui [1 ]
机构
[1] Chongqing Univ Posts & Telecommun, Sch Automat, Chongqing 400065, Peoples R China
[2] Sixth Peoples Hosp Chongqing City, Dept Rehabil Med, Chongqing 400060, Peoples R China
关键词
Human-machine interaction; iron nanowires (Fe NWs); ordered-structured hydrogel; strain sensor;
D O I
10.1109/JSEN.2024.3482435
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
High-flexibility strain sensors are critical components in devices, such as smart wearable devices, human-machine interfaces, and electronic skin. Hydrogel-based sensors are particularly favored due to their modulus close to that of biological tissues, high strain capacity, and biocompatibility. Iron nanowires (Fe NWs) are a typical example of metal nanowires (NWs); compared to other metal NWs, they offer high conductivity, relatively low cost, and high saturation magnetization. The ferromagnetic nature of Fe NWs allows for the manipulation of their orientation using magnetic fields during sensor fabrication, thereby simultaneously affecting the sensor's mechanical and sensing properties. In this article, Fe NWs were incorporated into acrylamide (AM) and polyvinyl alcohol (PVA) to enhance the sensor's conductivity and extend its strain capacity, achieving a maximum strain at break of up to 1038.7%. The resulting sensors exhibit a low detection limit of 0.3% and a fast response time of 87 ms, demonstrating stable reactivity to signals generated by human movements, such as finger, wrist, elbow, and knee bending. Finally, a demonstration involving wireless control of a smart vehicle showcased the potential of these sensors in human-machine interaction applications.
引用
收藏
页码:38835 / 38842
页数:8
相关论文
共 50 条
  • [31] A Wearable Human-Machine Interface Based on Triboelectric Sensors Technology
    Qiu, Chunkai
    Wu, Fan
    Yuce, Mehmet Rasit
    2021 IEEE SENSORS, 2021,
  • [32] Simulator-based human-machine interaction design
    HiQ Ace AB, Teknikringen 8, Linköping SE-583 30, Sweden
    不详
    不详
    Int. J. Veh. Syst. Model. Test., 2009, 1-2 (1-16):
  • [33] Packaged Elastomeric Optical Fiber Sensors for Healthcare Monitoring and Human-Machine Interaction
    Zhang, Zhenhua
    Zhang, Lei
    ADVANCED MATERIALS TECHNOLOGIES, 2024, 9 (01)
  • [34] Stretchable Tactile and Bio-potential Sensors for Human-Machine Interaction: A Review
    Dong, Wentao
    Huang, YongAn
    Yin, Zhouping
    Zhou, Yuyu
    Chen, Jiankui
    INTELLIGENT ROBOTICS AND APPLICATIONS (ICIRA 2018), PT I, 2018, 10984 : 155 - 163
  • [35] Human-machine interaction through object using robot arm with tactile sensors
    Suwanratchatamanee, Kitti
    Matsumoto, Mitsuharu
    Hashimoto, Shuji
    2008 17TH IEEE INTERNATIONAL SYMPOSIUM ON ROBOT AND HUMAN INTERACTIVE COMMUNICATION, VOLS 1 AND 2, 2008, : 683 - 688
  • [36] Mussel-inspired breathable and antibacterial strain sensors based on polyurethane fibrous membrane for human motion monitoring, human-machine interaction, and acupoint photothermal therapy
    Liu, Dong
    Ji, Shangchao
    Zheng, Long
    Shi, Lei
    Chen, Hailong
    Yan, Xuesheng
    Su, Liang
    Zhu, Zongmin
    Yin, Xianze
    CHEMICAL ENGINEERING JOURNAL, 2025, 507
  • [37] The concept of "interaction" in debates on human-machine interaction
    Schleidgen, Sebastian
    Friedrich, Orsolya
    Gerlek, Selin
    Assadi, Galia
    Seifert, Johanna
    HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS, 2023, 10 (01):
  • [38] Skin-Like Strain Sensors Enabled by Elastomer Composites for Human-Machine Interfaces
    Yiu, Chunki
    Wong, Tsz Hung
    Liu, Yiming
    Yao, Kuanming
    Zhao, Ling
    Li, Dengfeng
    Hai, Zhao
    Zheng, Huanxi
    Wang, Zuankai
    Yu, Xinge
    COATINGS, 2020, 10 (08)
  • [39] High-performance gelatin-based hydrogel flexible sensor for respiratory monitoring and human-machine interaction
    Liu, Ruonan
    Wang, Yanpeng
    Chu, Haoxiang
    Li, Yiqi
    Li, Yehan
    Zhao, Yunjun
    Tian, Ye
    Xia, Zhixiu
    CHEMICAL ENGINEERING JOURNAL, 2024, 502
  • [40] Cognitive load and human-machine interaction
    Canes, Jose
    Di Stasi, Leandro
    Antoli, Adoracion
    Alvarez, Vanessa
    Madrid, Rafael, I
    INTERNATIONAL JOURNAL OF PSYCHOLOGY, 2008, 43 (3-4) : 762 - 762