Using nonlinear methods to quantify changes in infant limb movements and vocalizations
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In: Frontiers in Psychology, Vol. 5, No. AUG, 771, 12.08.2014.
Research output: Journal contributions › Journal articles › Research › peer-review
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TY - JOUR
T1 - Using nonlinear methods to quantify changes in infant limb movements and vocalizations
AU - Abney, Drew H.
AU - Warlaumont, Anne S.
AU - Haussman, Anna
AU - Ross, Jessica M.
AU - Wallot, Sebastian
PY - 2014/8/12
Y1 - 2014/8/12
N2 - The pairing of dynamical systems theory and complexity science brings novel concepts and methods to the study of infant motor development. Accordingly, this longitudinal case study presents a new approach to characterizing the dynamics of infant limb and vocalization behaviors. A single infant's vocalizations and limb movements were recorded from 51-days to 305-days of age. On each recording day, accelerometers were placed on all four of the infant's limbs and an audio recorder was worn on the child's chest. Using nonlinear time series analysis methods, such as recurrence quantification analysis and Allan factor, we quantified changes in the stability and multiscale properties of the infant's behaviors across age as well as how these dynamics relate across modalities and effectors. We observed that particular changes in these dynamics preceded or coincided with the onset of various developmental milestones. For example, the largest changes in vocalization dynamics preceded the onset of canonical babbling. The results show that nonlinear analyses can help to understand the functional co-development of different aspects of infant behavior.
AB - The pairing of dynamical systems theory and complexity science brings novel concepts and methods to the study of infant motor development. Accordingly, this longitudinal case study presents a new approach to characterizing the dynamics of infant limb and vocalization behaviors. A single infant's vocalizations and limb movements were recorded from 51-days to 305-days of age. On each recording day, accelerometers were placed on all four of the infant's limbs and an audio recorder was worn on the child's chest. Using nonlinear time series analysis methods, such as recurrence quantification analysis and Allan factor, we quantified changes in the stability and multiscale properties of the infant's behaviors across age as well as how these dynamics relate across modalities and effectors. We observed that particular changes in these dynamics preceded or coincided with the onset of various developmental milestones. For example, the largest changes in vocalization dynamics preceded the onset of canonical babbling. The results show that nonlinear analyses can help to understand the functional co-development of different aspects of infant behavior.
KW - Psychology
KW - Allan factor
KW - Infant vocalization
KW - Motor development
KW - Nonlinear methods
KW - Recurrence
UR - http://www.scopus.com/inward/record.url?scp=84906334052&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/05ea81b7-14d8-3bac-b361-cb6effcecfc8/
U2 - 10.3389/fpsyg.2014.00771
DO - 10.3389/fpsyg.2014.00771
M3 - Journal articles
AN - SCOPUS:84906334052
VL - 5
JO - Frontiers in Psychology
JF - Frontiers in Psychology
SN - 1664-1078
IS - AUG
M1 - 771
ER -