Zobrazeno 1 - 10
of 358
pro vyhledávání: '"Motoaki Kawanabe"'
Publikováno v:
NeuroImage, Vol 263, Iss , Pp 119669- (2022)
In recent years, EEG microstate analysis has attracted much attention as a tool for characterizing the spatial and temporal dynamics of large-scale electrophysiological activities in the human brain. Canonical 4 states (classes A, B, C, and D) have b
Externí odkaz:
https://doaj.org/article/8e99608dad2a4494ab7ad625a9f5a004
Publikováno v:
IEEE Access, Vol 9, Pp 75003-75020 (2021)
As smart speakers continue to proliferate, question answering (QA) by smart devices is being woven into our daily lives. This study assumes question answering related to daily life events detected by context recognition systems, such as activity reco
Externí odkaz:
https://doaj.org/article/7a195bc759e4426ea81b7241955d9bfe
Publikováno v:
IEEE Access, Vol 8, Pp 122281-122291 (2020)
Key-frame extraction for first-person vision (FPV) videos is a core technology for selecting important scenes and memorizing impressive life experiences in our daily activities. The difficulty of selecting key frames is the scene instability caused b
Externí odkaz:
https://doaj.org/article/bc489a0d6ef34ffb970f36245cc3bbf7
Publikováno v:
NeuroImage, Vol 247, Iss , Pp 118794- (2022)
Both imagery and execution of motor control consist of interactions within a neuronal network, including frontal motor-related and posterior parietal regions. To reveal neural representation in the frontoparietal motor network, two approaches have be
Externí odkaz:
https://doaj.org/article/545d84e401e241e38ceaa4d3dade8cfb
Autor:
Ricardo Pio Monti, Alex Gibberd, Sandipan Roy, Matthew Nunes, Romy Lorenz, Robert Leech, Takeshi Ogawa, Motoaki Kawanabe, Aapo Hyvärinen
Publikováno v:
PLoS ONE, Vol 15, Iss 6, p e0232296 (2020)
Neuroimaging-driven prediction of brain age, defined as the predicted biological age of a subject using only brain imaging data, is an exciting avenue of research. In this work we seek to build models of brain age based on functional connectivity whi
Externí odkaz:
https://doaj.org/article/e89cf5ca143a4f86840b4c74602bc2ae
Publikováno v:
IEEE Sensors Journal. 22:5372-5385
This study presents a method for predicting location classes of a room such as a kitchen, and restroom, where a user is located by discovering location-specific sensor data motifs in sensor data observed by user’s sensor devices, such as smartwatch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::023d7b0373c65b44b233dbee251083da
https://doi.org/10.1109/jsen.2021.3102916
https://doi.org/10.1109/jsen.2021.3102916
Publikováno v:
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::967d9535584f8abc847e063899de56c0
https://doi.org/10.1109/icassp43922.2022.9746629
https://doi.org/10.1109/icassp43922.2022.9746629
Publikováno v:
PLoS ONE, Vol 11, Iss 12, p e0168180 (2016)
Characterizing the variability of resting-state functional brain connectivity across subjects and/or over time has recently attracted much attention. Principal component analysis (PCA) serves as a fundamental statistical technique for such analyses.
Externí odkaz:
https://doaj.org/article/7a7cb801593647d8968c82f526b54f35
We propose a new 3D spatial understanding task of 3D Question Answering (3D-QA). In the 3D-QA task, models receive visual information from the entire 3D scene of the rich RGB-D indoor scan and answer the given textual questions about the 3D scene. Un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb62b1d342cc66224924fceb779853c5
http://arxiv.org/abs/2112.10482
http://arxiv.org/abs/2112.10482
Autor:
Reinmar J. Kobler, Jun-Ichiro Hirayama, Lea Hehenberger, Catarina Lopes-Dias, Gernot R. Muller-Putz, Motoaki Kawanabe
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2021
Riemannian tangent space methods offer state-of-the-art performance in magnetoencephalography (MEG) and electroencephalography (EEG) based applications such as brain-computer interfaces and biomarker development. One limitation, particularly relevant
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f6d96c0eab75c72e701afa3788e668a
https://pubmed.ncbi.nlm.nih.gov/34892464
https://pubmed.ncbi.nlm.nih.gov/34892464