Zobrazeno 1 - 10
of 84
pro vyhledávání: '"Okko Räsänen"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract Assessing infant carrying and holding (C/H), or physical infant-caregiver interaction, is important for a wide range of contexts in development research. An automated detection and quantification of infant C/H is particularly needed in long
Externí odkaz:
https://doaj.org/article/599cb6a7145f446b9256b53634a9a3e3
Autor:
Manu Airaksinen, Elisa Taylor, Anastasia Gallen, Elina Ilén, Antti Saari, Ulla Sankilampi, Okko Räsänen, Leena M. Haataja, Sampsa Vanhatalo
Publikováno v:
EBioMedicine, Vol 92, Iss , Pp 104591- (2023)
Summary: Background: Early neurodevelopmental care and research are in urgent need of practical methods for quantitative assessment of early motor development. Here, performance of a wearable system in early motor assessment was validated and compare
Externí odkaz:
https://doaj.org/article/0e39cc7bfe6446a5920bae8941aa056f
Autor:
Manu Airaksinen, Anastasia Gallen, Anna Kivi, Pavithra Vijayakrishnan, Taru Häyrinen, Elina Ilén, Okko Räsänen, Leena M. Haataja, Sampsa Vanhatalo
Publikováno v:
Communications Medicine, Vol 2, Iss 1, Pp 1-14 (2022)
Airaksinen et al. describe an infant wearable system that accurately quantifies key aspects of infant motor ability and uses deep learning algorithms to analyze movement signals. Motor ability age and maturation can be predicted, with the predictions
Externí odkaz:
https://doaj.org/article/e693172aecd5426d87be79a560f88cad
Publikováno v:
Sensors, Vol 23, Iss 7, p 3773 (2023)
Infant motility assessment using intelligent wearables is a promising new approach for assessment of infant neurophysiological development, and where efficient signal analysis plays a central role. This study investigates the use of different end-to-
Externí odkaz:
https://doaj.org/article/77a432766a004c0e94b759dabe9e5906
Autor:
Khazar Khorrami, Okko Räsänen
Publikováno v:
Language Development Research, Vol 1, Iss 1 (2021)
Decades of research has studied how language learning infants learn to discriminate speech sounds, segment words, and associate words with their meanings. While gradual development of such capabilities is unquestionable, the exact nature of these ski
Externí odkaz:
https://doaj.org/article/16f852c0338b4122a9b43e153d3a13f1
Publikováno v:
Speech Communication. 148:9-22
Funding Information: This research was funded by Academy of Finland grants no. 314573 , 314602 , 332962 , and 335872 , and EU Horizon-2020 grant no. 957337 MARVEL. The authors would like to thank the APPLE consortium for the help in the project. Publ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97ec5f801f9769611458c35623a28106
https://doi.org/10.1016/j.specom.2023.02.001
https://doi.org/10.1016/j.specom.2023.02.001
Publikováno v:
Proceedings of the Annual Meeting of the Cognitive Science Society, vol 45, iss 45
When assessing children in laboratory experiments, the measured responses also contain task-irrelevant participant-level variability (“noise”) and measurement noise. Since experimental data are used to make inferences of development of cognitive
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::689943112ef2638a3545c900bf833f08
https://escholarship.org/uc/item/4vr4082h
https://escholarship.org/uc/item/4vr4082h
When domain experts are needed to perform data annotation for complex machine-learning tasks, reducing annotation effort is crucial in order to cut down time and expenses. For cases when there are no annotations available, one approach is to utilize
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e97dd2cd19fdf2cd9a803037b4292e90
https://trepo.tuni.fi/handle/10024/146199
https://trepo.tuni.fi/handle/10024/146199
Imprecise vowel articulation can be observed in people with Parkinson's disease (PD). Acoustic features measuring vowel articulation have been demonstrated to be effective indicators of PD in its assessment. Standard clinical vowel articulation featu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ffc4f650ba14acedb45df3fcec2cec6f
http://arxiv.org/abs/2108.06943
http://arxiv.org/abs/2108.06943
Publikováno v:
Sensors; Volume 23; Issue 7; Pages: 3773
Infant motility assessment using intelligent wearables is a promising new approach for assessment of infant neurophysiological development, and where efficient signal analysis plays a central role. This study investigates the use of different end-to-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd2f92fcf3a2e1645566b17e8dc7a628
http://arxiv.org/abs/2107.01086
http://arxiv.org/abs/2107.01086