Cargando…

High-Density Functional Near-Infrared Spectroscopy and Machine Learning for Visual Perception Quantification

The main application scenario for wearable sensors involves the generation of data and monitoring metrics. fNIRS (functional near-infrared spectroscopy) allows the nonintrusive monitoring of human visual perception. The quantification of visual perception by fNIRS facilitates applications in enginee...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xiao, Hongwei, Li, Zhao, Zhou, Yuting, Gao, Zhenhai
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650008/ https://www.ncbi.nlm.nih.gov/pubmed/37960396 http://dx.doi.org/10.3390/s23218696

Ejemplares similares

A Review of Machine Learning for Near-Infrared Spectroscopy
por: Zhang, Wenwen, et al.
Publicado: (2022)

Near‐infrared spectroscopy for metabolite quantification and species identification
por: Aw, Wen C., et al.
Publicado: (2019)

Near-Infrared Spectroscopy and Machine Learning for Accurate Dating of Historical Books
por: Coppola, Floriana, et al.
Publicado: (2023)

Quantification of irrigated lesion morphology using near-infrared spectroscopy
por: Park, Soo Young, et al.
Publicado: (2021)

Machine Learning Classification of Articular Cartilage Integrity Using Near Infrared Spectroscopy
por: Afara, Isaac O., et al.
Publicado: (2020)

Objective measurement of tinnitus using functional near-infrared spectroscopy and machine learning
por: Shoushtarian, Mehrnaz, et al.
Publicado: (2020)

Diagnosis of Chronic Musculoskeletal Pain by Using Functional Near-Infrared Spectroscopy and Machine Learning
por: Zeng, Xinglin, et al.
Publicado: (2023)

Rapidly detecting fennel origin of the near-infrared spectroscopy based on extreme learning machine
por: Zuo, Enguang, et al.
Publicado: (2022)

Near-infrared spectroscopy and machine learning algorithms for rapid and non-invasive detection of Trichuris
por: Kariyawasam, Tharanga N., et al.
Publicado: (2023)

Detection and Quantification of Alprazolam Added to Long Drinks by Near Infrared Spectroscopy and Chemometrics
por: Scappaticci, Claudia, et al.
Publicado: (2022)

Migraine classification by machine learning with functional near-infrared spectroscopy during the mental arithmetic task
por: Chen, Wei-Ta, et al.
Publicado: (2022)

Classifying Children with ADHD Based on Prefrontal Functional Near-infrared Spectroscopy Using Machine Learning
por: Yang, Chan-Mo, et al.
Publicado: (2023)

Quantification of muscle recovery methods by near-infrared spectroscopy after heavy exercise in the heat
por: Rissanen, Sirkka, et al.
Publicado: (2015)

Instant quantification of sugars in milk tablets using near-infrared spectroscopy and chemometric tools
por: Thanavanich, Chanat, et al.
Publicado: (2022)

Predicting Forage Quality of Warm-Season Legumes by Near Infrared Spectroscopy Coupled with Machine Learning Techniques
por: Baath, Gurjinder S., et al.
Publicado: (2020)

Monitoring the Bacterial Response to Antibiotic and Time Growth Using Near-infrared Spectroscopy Combined with Machine Learning
por: Truong, Vi Khanh, et al.
Publicado: (2021)

Early Diagnosis of Type 2 Diabetes Based on Near-Infrared Spectroscopy Combined With Machine Learning and Aquaphotomics
por: Li, Yuanpeng, et al.
Publicado: (2020)

Near-infrared spectroscopy and machine learning-based technique to predict quality-related parameters in instant tea
por: Bai, Xiaoli, et al.
Publicado: (2022)

Point‐of‐care detection of fibrosis in liver transplant surgery using near‐infrared spectroscopy and machine learning
por: Sharma, Varun J., et al.
Publicado: (2023)

Classification and quantification analysis of peach kernel from different origins with near-infrared diffuse reflection spectroscopy
por: Liu, Wei, et al.
Publicado: (2014)

Application of Near-Infrared Spectroscopy and Hyperspectral Imaging Combined with Machine Learning Algorithms for Quality Inspection of Grape: A Review
por: Ye, Weixin, et al.
Publicado: (2022)

Measures of prefrontal functional near-infrared spectroscopy in visuomotor learning
por: Tinga, Angelica M., et al.
Publicado: (2021)

Potential of Visible and Near Infrared Spectroscopy and Pattern Recognition for Rapid Quantification of Notoginseng Powder with Adulterants
por: Nie, Pengcheng, et al.
Publicado: (2013)

Measuring visual cortical oxygenation in diabetes using functional near-infrared spectroscopy
por: Aitchison, Ross T., et al.
Publicado: (2018)

Near-Infrared Spectroscopy in Bio-Applications
por: Beć, Krzysztof B., et al.
Publicado: (2020)

Deep learning-based motion artifact removal in functional near-infrared spectroscopy
por: Gao, Yuanyuan, et al.
Publicado: (2022)

Quality Control of Thermally Modified Western Hemlock Wood Using Near-Infrared Spectroscopy and Explainable Machine Learning
por: Nasir, Vahid, et al.
Publicado: (2023)

In vivo visualization and quantification of collecting lymphatic vessel contractility using near-infrared imaging
por: Chong, Chloé, et al.
Publicado: (2016)

A high-throughput quantification of resin and rubber contents in Parthenium argentatum using near-infrared (NIR) spectroscopy
por: Luo, Zinan, et al.
Publicado: (2019)

Prediction approach of larch wood density from visible–near-infrared spectroscopy based on parameter calibrating and transfer learning
por: Zhang, Zheyu, et al.
Publicado: (2022)

Near-infrared spectroscopy: recent advances in infant speech perception and language acquisition research
por: Gervain, Judit
Publicado: (2014)

Prosodic influence in face emotion perception: evidence from functional near-infrared spectroscopy
por: Becker, Katherine M., et al.
Publicado: (2020)

Comparative Quantification of Arterial Lipid by Intravascular Photoacoustic-Ultrasound Imaging and Near-Infrared Spectroscopy-Intravascular Ultrasound
por: Kole, Ayeeshik, et al.
Publicado: (2018)

Raman and near Infrared Spectroscopy for Quantification of Fatty Acids in Muscle Tissue—A Salmon Case Study
por: Afseth, Nils Kristian, et al.
Publicado: (2022)

Novel near-infrared spectroscopy–intravascular ultrasound-based deep-learning methodology for accurate coronary computed tomography plaque quantification and characterization
por: Ramasamy, Anantharaman, et al.
Publicado: (2023)

Machine Learning-Based Assessment of Cognitive Impairment Using Time-Resolved Near-Infrared Spectroscopy and Basic Blood Test
por: Oyama, Katsunori, et al.
Publicado: (2022)

Gaming behavior and brain activation using functional near‐infrared spectroscopy, Iowa gambling task, and machine learning techniques
por: Kornev, Denis, et al.
Publicado: (2022)

A Study on Origin Traceability of White Tea (White Peony) Based on Near-Infrared Spectroscopy and Machine Learning Algorithms
por: Zhang, Lingzhi, et al.
Publicado: (2023)

Visible and near-infrared spectroscopy and deep learning application for the qualitative and quantitative investigation of nitrogen status in cotton leaves
por: Xiao, Qinlin, et al.
Publicado: (2022)

Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
por: Zhang, Tianyu, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_a26ti9gi08aoot9h2resmsdgc1