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A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing
The VUCA environment challenged neuropsychological research conducted in conventional laboratories. Researchers expected to perform complex multimodal testing tasks in natural, open, and non-laboratory settings. However, for most neuropsychological scientists, the independent construction of a multi...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201981/ https://www.ncbi.nlm.nih.gov/pubmed/35720682 http://dx.doi.org/10.3389/fnins.2022.879348 |
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author | Qian, Xuesheng Qiao, Yihong Wang, Mianjie Wang, Xinyue Chen, Mengfan Dai, Weihui |
author_facet | Qian, Xuesheng Qiao, Yihong Wang, Mianjie Wang, Xinyue Chen, Mengfan Dai, Weihui |
author_sort | Qian, Xuesheng |
collection | PubMed |
description | The VUCA environment challenged neuropsychological research conducted in conventional laboratories. Researchers expected to perform complex multimodal testing tasks in natural, open, and non-laboratory settings. However, for most neuropsychological scientists, the independent construction of a multimodal laboratory in a VUCA environment, such as a construction site, was a significant and comprehensive technological challenge. This study presents a generalized lightweight framework for perception analysis based on multimodal cognition-aware computing, which provided practical updated strategies and technological guidelines for neuromanagement and automation. A real-life test experiment on a construction site was provided to illustrate the feasibility and superiority of the method. The study aimed to fill a technology gap in the application of multimodal physiological and neuropsychological techniques in an open VUCA environment. Meanwhile, it enabled the researchers to improve their systematic technological capabilities and reduce the threshold and trial-and-error costs of experiments to conform to the new trend of VUCA. |
format | Online Article Text |
id | pubmed-9201981 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92019812022-06-17 A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing Qian, Xuesheng Qiao, Yihong Wang, Mianjie Wang, Xinyue Chen, Mengfan Dai, Weihui Front Neurosci Neuroscience The VUCA environment challenged neuropsychological research conducted in conventional laboratories. Researchers expected to perform complex multimodal testing tasks in natural, open, and non-laboratory settings. However, for most neuropsychological scientists, the independent construction of a multimodal laboratory in a VUCA environment, such as a construction site, was a significant and comprehensive technological challenge. This study presents a generalized lightweight framework for perception analysis based on multimodal cognition-aware computing, which provided practical updated strategies and technological guidelines for neuromanagement and automation. A real-life test experiment on a construction site was provided to illustrate the feasibility and superiority of the method. The study aimed to fill a technology gap in the application of multimodal physiological and neuropsychological techniques in an open VUCA environment. Meanwhile, it enabled the researchers to improve their systematic technological capabilities and reduce the threshold and trial-and-error costs of experiments to conform to the new trend of VUCA. Frontiers Media S.A. 2022-05-26 /pmc/articles/PMC9201981/ /pubmed/35720682 http://dx.doi.org/10.3389/fnins.2022.879348 Text en Copyright © 2022 Qian, Qiao, Wang, Wang, Chen and Dai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Qian, Xuesheng Qiao, Yihong Wang, Mianjie Wang, Xinyue Chen, Mengfan Dai, Weihui A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing |
title | A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing |
title_full | A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing |
title_fullStr | A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing |
title_full_unstemmed | A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing |
title_short | A Lightweight Framework for Perception Analysis Based on Multimodal Cognition-Aware Computing |
title_sort | lightweight framework for perception analysis based on multimodal cognition-aware computing |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9201981/ https://www.ncbi.nlm.nih.gov/pubmed/35720682 http://dx.doi.org/10.3389/fnins.2022.879348 |
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