A Battery‐Free Wireless Tactile Sensor for Multimodal Force Perception

Abstract Multimodal tactile sensors, as key information input channel in human‐machine interactions, have faced the significant challenges including high power‐consumption, multimodal data fusion, and wireless transmission. In this work, a battery‐free multimodal wireless tactile sensor (TC‐MWTS) based on tribo‐capacitive coupled effect for normal and shear force fusion sensing is proposed, which is enabled by a 3D structure combining a triboelectric sensor and a capacitive sensor coupled with an inductive coil. A triboelectric sensor equipped with contact‐discharge structures exhibits 25‐fold wireless signal enhancement compared to conventional triboelectric sensors. Based on the characteristics of dual time‐frequency domain information existing in the wireless signals, both normal and shear forces can simultaneously be converted into voltage amplitude V and eigenfrequency f , respectively, without crosstalk and complex decoupling signals. The TC‐MWTS exhibits a maximum sensitivity of 2.47 V kPa −1 for normal force from 2 to 30 kPa and a sensitivity of 0.28 MHz N −1 for shear force between 0.3 and 1.0 N. Finally, the excellent sensing capability of TC‐MWTS to sense complex multidimensional forces in human‐machine interaction is demonstrated. This work innovatively proposes a new mechanism and methodology for effectively fusing and processing multimodal tactile information, which may drive the tremendous development of low‐power multimodal tactile sensing system.

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Publication Details

Journal
Advanced Functional Materials
Published
2024-09-02
DOI
https://doi.org/10.1002/adfm.202410661
Citations
24
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
4.43

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article

A Battery‐Free Wireless Tactile Sensor for Multimodal Force Perception

Lingjie Xie, Baoqing Nie, Xuhui Sun, Bohan Lu et al.
24 citations
Advanced Functional Materials
Advanced Sensor and Energy Harvesting Materials
4.43
article

A Battery‐Free Wireless Tactile Sensor for Multimodal Force Perception

Lingjie Xie, Baoqing Nie, Xuhui Sun, Bohan Lu, Zhen Wen, Yina Liu, Zhenqiu Gao, Liming Zhang, Haicheng Gu, Shaokuan Wu, Jixin Yi
article en
24 citations

Abstract

Abstract Multimodal tactile sensors, as key information input channel in human‐machine interactions, have faced the significant challenges including high power‐consumption, multimodal data fusion, and wireless transmission. In this work, a battery‐free multimodal wireless tactile sensor (TC‐MWTS) based on tribo‐capacitive coupled effect for normal and shear force fusion sensing is proposed, which is enabled by a 3D structure combining a triboelectric sensor and a capacitive sensor coupled with an inductive coil. A triboelectric sensor equipped with contact‐discharge structures exhibits 25‐fold wireless signal enhancement compared to conventional triboelectric sensors. Based on the characteristics of dual time‐frequency domain information existing in the wireless signals, both normal and shear forces can simultaneously be converted into voltage amplitude V and eigenfrequency f , respectively, without crosstalk and complex decoupling signals. The TC‐MWTS exhibits a maximum sensitivity of 2.47 V kPa −1 for normal force from 2 to 30 kPa and a sensitivity of 0.28 MHz N −1 for shear force between 0.3 and 1.0 N. Finally, the excellent sensing capability of TC‐MWTS to sense complex multidimensional forces in human‐machine interaction is demonstrated. This work innovatively proposes a new mechanism and methodology for effectively fusing and processing multimodal tactile information, which may drive the tremendous development of low‐power multimodal tactile sensing system.

Advanced Functional MaterialsVol. 34(52)
Soochow University (CN), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China, Ministry of Science and Technology of the People's Republic of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Higher Education Discipline Innovation Project, National Key Research and Development Program of China
Openalex Percentile: Top 5%
Advanced Sensor and Energy Harvesting Materials
4.43
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