Please use this identifier to cite or link to this item: 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: embargo_20220930
Fulltext Availability: With Fulltext
Appears in Collections:MSE Journal Articles

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