Self-touch and other spontaneous behavior patterns in early infancy

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00362311" target="_blank" >RIV/68407700:21230/22:00362311 - isvavai.cz</a>

Výsledek na webu

<a href="https://doi.org/10.1109/ICDL53763.2022.9962203" target="_blank" >https://doi.org/10.1109/ICDL53763.2022.9962203</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICDL53763.2022.9962203" target="_blank" >10.1109/ICDL53763.2022.9962203</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Self-touch and other spontaneous behavior patterns in early infancy

Popis výsledku v původním jazyce

Children are not born tabula rasa. However, interacting with the environment through their body movements in the first months after birth is critical to building the models or representations that are the foundation for everything that follows. We present longitudinal data on spontaneous behavior of three infants observed between about 8 and 25 weeks of age in supine position. We combined manual scoring of video recordings with an automatic extraction of motion data in order to study infants’ behavioral patterns and developmental progression such as: (i) spatial distribution of self-touches on the body, (ii) spatial patterns and regularities of hand movements, (iii) midline crossing, (iv) preferential use of one arm, and (v) dynamic patterns of movements indicative of goal-directedness. From the patterns observed in this pilot data set, we can speculate on the development of first body and peripersonal space representations. Several methods of extracting 3D kinematics from videos have recently been made available by the computer vision community. We applied one of these methods on infant videos and provide guidelines on its possibilities and limitations—a methodological contribution to automating the analysis of infant videos. In the future, we plan to use the patterns we extracted from the recordings as inputs to embodied computational models of learning of body representations in infancy.

Název v anglickém jazyce

Self-touch and other spontaneous behavior patterns in early infancy

Popis výsledku anglicky

Children are not born tabula rasa. However, interacting with the environment through their body movements in the first months after birth is critical to building the models or representations that are the foundation for everything that follows. We present longitudinal data on spontaneous behavior of three infants observed between about 8 and 25 weeks of age in supine position. We combined manual scoring of video recordings with an automatic extraction of motion data in order to study infants’ behavioral patterns and developmental progression such as: (i) spatial distribution of self-touches on the body, (ii) spatial patterns and regularities of hand movements, (iii) midline crossing, (iv) preferential use of one arm, and (v) dynamic patterns of movements indicative of goal-directedness. From the patterns observed in this pilot data set, we can speculate on the development of first body and peripersonal space representations. Several methods of extracting 3D kinematics from videos have recently been made available by the computer vision community. We applied one of these methods on infant videos and provide guidelines on its possibilities and limitations—a methodological contribution to automating the analysis of infant videos. In the future, we plan to use the patterns we extracted from the recordings as inputs to embodied computational models of learning of body representations in infancy.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50103 - Cognitive sciences

Projekt

<a href="/cs/project/GX20-24186X" target="_blank" >GX20-24186X: Vědomí celého povrchu těla pro bezpečnou a přirozenou interakci: od mozku ke kolaborativním robotům</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2022 IEEE International Conference on Development and Learning (ICDL)

ISBN

978-1-6654-1311-4

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

148-155

Název nakladatele

IEEE

Místo vydání

Piscataway

Místo konání akce

London

Datum konání akce

12. 9. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—