3D Heterogeneous Sensing System for Multimode Parrallel Signal No‐Spatiotemporal Misalignment Recognition

The spatiotemporal error caused by planar tiled structure design and the waste of communication resources brought on by the transmission of a single channel are two challenges facing the development of multifunctional intelligent sensors with high-density integration. A homo-spatiotemporal multisensory parallel transmission system (HMPTs) is expanded to realize multisignal no-spatiotemporal misalignment recognition and efficient parallel transmission. First, this system optimizes the distribution of multifunctional sensors, completes the 3D vertical heterogeneous layout of four sensors, and achieves material multi-information detection at a single place with no-spatiotemporal deviation. Additionally, the system couples and transmittes multiple sensory signals, delivering a fourfold increase in transmission efficiency and one-third of the power consumption compared to a single-channel transmission system. Finally, this system is used for the recognition of mixed materials, and human-computer interaction to realize the assignment of materials in VR, demonstrating the great accuracy and transmission efficiency of HMPTs as well as its feasibility in practical application. This is an a priori effort to enhance machine perception accuracy, improve signal transmission effectiveness, and advance human-machine-object triadic integration.

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Publication Details

Journal
Advanced Materials
Published
2024-12-11
DOI
https://doi.org/10.1002/adma.202414054
Citations
45
Primary Topic
Tactile and Sensory Interactions
Type
article
Field-Weighted Citation Impact
15.42

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article

3D Heterogeneous Sensing System for Multimode Parrallel Signal No‐Spatiotemporal Misalignment Recognition

Zhexin Li, Bowen Zhong, Lili Wang, Hao Xu et al.
45 citations
Advanced Materials
Tactile and Sensory Interactions
15.42
article

3D Heterogeneous Sensing System for Multimode Parrallel Signal No‐Spatiotemporal Misalignment Recognition

Zhexin Li, Bowen Zhong, Lili Wang, Hao Xu, Zheng Lou, Linlin Li
article en
45 citations

Abstract

The spatiotemporal error caused by planar tiled structure design and the waste of communication resources brought on by the transmission of a single channel are two challenges facing the development of multifunctional intelligent sensors with high-density integration. A homo-spatiotemporal multisensory parallel transmission system (HMPTs) is expanded to realize multisignal no-spatiotemporal misalignment recognition and efficient parallel transmission. First, this system optimizes the distribution of multifunctional sensors, completes the 3D vertical heterogeneous layout of four sensors, and achieves material multi-information detection at a single place with no-spatiotemporal deviation. Additionally, the system couples and transmittes multiple sensory signals, delivering a fourfold increase in transmission efficiency and one-third of the power consumption compared to a single-channel transmission system. Finally, this system is used for the recognition of mixed materials, and human-computer interaction to realize the assignment of materials in VR, demonstrating the great accuracy and transmission efficiency of HMPTs as well as its feasibility in practical application. This is an a priori effort to enhance machine perception accuracy, improve signal transmission effectiveness, and advance human-machine-object triadic integration.

Advanced MaterialsVol. 37(6)
Chinese Academy of Sciences (CN), Institute of Semiconductors (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, Youth Innovation Promotion Association of the Chinese Academy of Sciences
Affordable and clean energy
Openalex Percentile: Top 0%
Tactile and Sensory Interactions
15.42
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