The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system
Open accessAbstract
Rapid developments of robotics and virtual reality technology are raising the requirements of more advanced human-machine interfaces for achieving efficient parallel control. Exoskeleton as an assistive wearable device, usually requires a huge cost and complex data processing to track the multi-dimensional human motions. Alternatively, we propose a triboelectric bi-directional sensor as a universal and cost-effective solution to a customized exoskeleton for monitoring all of the movable joints of the human upper limbs with low power consumption. The corresponding movements, including two DOF rotations of the shoulder, twisting of the wrist, and the bending motions, are detected and utilized for controlling the virtual character and the robotic arm in real-time. Owing to the structural consistency between the exoskeleton and the human body, further kinetic analysis offers additional physical parameters without introducing other types of sensors. This exoskeleton sensory system shows a great potential of being an economic and advanced human-machine interface for supporting the manipulation in both real and virtual worlds, including robotic automation, healthcare, and training applications.
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Cites
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Self-citationA skin-inspired organic digital mechanoreceptor
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Cited by
Choi, D., Lee, Y., Lin, Z.-H., Cho, S., Kim, M., Ao, C. K., Soh, S., Sohn, C., Jeong, C. K., Lee, J., et al. (2023) · ACS Nano · doi:10.1021/acsnano.2c12458 · Cited by 656
Sun, Z., Zhu, M., Shan, X., & Lee, C. (2022) · Nature Communications · doi:10.1038/s41467-022-32745-8 · Cited by 532
Self-citationTi3C2Tx MXene-Based Flexible Piezoresistive Physical Sensors
Wang, Y., Yue, Y., Cheng, F., Cheng, Y., Ge, B., Liu, N., & Gao, Y. (2022) · ACS Nano · doi:10.1021/acsnano.1c09925 · Cited by 406
Qin, Y., Mo, J., Liu, Y., Zhang, S., Wang, J., Fu, Q., Wang, S., & Nie, S. (2022) · Advanced Functional Materials · doi:10.1002/adfm.202201846 · Cited by 382
Decoding lip language using triboelectric sensors with deep learning
Lu, Y., Tian, H., Cheng, J., Zhu, F., Liu, B., Wei, S., Ji, L., & Wang, Z. L. (2022) · Nature Communications · doi:10.1038/s41467-022-29083-0 · Cited by 253
Metadata
- Authors
- Zhu, M., Sun, Z., Chen, T., & Lee, C.
- Venue
- Nature Communications
- Published
- 2021-05-11
- Volume
- 12
- Issue
- 1
- Pages
- 2692-2692
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W3160413919
- Cited by
- 200
- References
- 13
- FWCI
- 10.78
- Type
- journal article
- Language
- en
- Open access
- gold
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