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https://hdl.handle.net/10356/156389
Title: | Fusing stretchable sensing technology with machine learning for human–machine interfaces | Authors: | Wang, Ming Wang, Ting Luo, Yifei He, Ke Pan, Liang Li, Zheng Cui, Zequn Liu, Zhihua Tu, Jiaqi Chen, Xiaodong |
Keywords: | Engineering::Materials | Issue Date: | 2021 | Source: | Wang, M., Wang, T., Luo, Y., He, K., Pan, L., Li, Z., Cui, Z., Liu, Z., Tu, J. & Chen, X. (2021). Fusing stretchable sensing technology with machine learning for human–machine interfaces. Advanced Functional Materials, 31(39), 2008807-. https://dx.doi.org/10.1002/adfm.202008807 | Project: | A18A1b0045 MOE2017-T2-2-107 MOE2019-T2-2-022 NRF-NRFI2017-07 |
Journal: | Advanced Functional Materials | Abstract: | Sensors and algorithms are two fundamental elements to construct intelligent systems. The recent progress in machine learning (ML) has produced great advancements in intelligent systems, owing to the powerful data analysis capability of ML algorithms. However, the performance of most systems is still hindered by sensing techniques that typically rely on rigid and bulky sensor devices, which cannot conform to irregularly curved and dynamic surfaces for high-quality data acquisition. Skin-like stretchable sensing technology with unique characteristics, such as high conformability, low modulus, and light weight, has been recently developed to solve this issue. Here, the recent progress in the fusion of emerging stretchable electronics and ML technology, for bioelectrical signal recognition, tactile perception, and multimodal integration is summarized, and the challenges and future developments are further discussed. These efforts aim to accelerate various perception and reasoning tasks for advanced intelligent applications, such as human–machine interfaces, healthcare, and robotics. | URI: | https://hdl.handle.net/10356/156389 | ISSN: | 1616-301X | DOI: | 10.1002/adfm.202008807 | Rights: | This is the peer reviewed version of the following article: Wang, M., Wang, T., Luo, Y., He, K., Pan, L., Li, Z., Cui, Z., Liu, Z., Tu, J. & Chen, X. (2021). Fusing stretchable sensing technology with machine learning for human–machine interfaces. Advanced Functional Materials, 31(39), 2008807-, which has been published in final form at https://doi.org/10.1002/adfm.202008807. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | MSE Journal Articles |
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