[HTML][HTML] Healthcare applications of single camera markerless motion capture: a scoping review

B Scott, M Seyres, F Philp, EK Chadwick, D Blana - PeerJ, 2022 - peerj.com
Background Single camera markerless motion capture has the potential to facilitate at home
movement assessment due to the ease of setup, portability, and affordable cost of the …

[HTML][HTML] Markerless human pose estimation for biomedical applications: a survey

A Avogaro, F Cunico, B Rosenhahn… - Frontiers in Computer …, 2023 - frontiersin.org
Markerless Human Pose Estimation (HPE) proved its potential to support decision making
and assessment in many fields of application. HPE is often preferred to traditional marker …

Development and validation of a deep learning method to predict cerebral palsy from spontaneous movements in infants at high risk

D Groos, L Adde, S Aubert, L Boswell… - JAMA network …, 2022 - jamanetwork.com
Importance Early identification of cerebral palsy (CP) is important for early intervention, yet
expert-based assessments do not permit widespread use, and conventional machine …

Dynamic gaussian splatting from markerless motion capture reconstruct infants movements

RJ Cotton, C Peyton - Proceedings of the IEEE/CVF Winter …, 2024 - openaccess.thecvf.com
Easy access to precise 3D tracking of movement could benefit many aspects of
rehabilitation. A challenge to achieving this goal is that while there are many datasets and …

NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry

Y Khandelwal, M Arvind, S Kumar… - Proceedings of the …, 2024 - openaccess.thecvf.com
Malnutrition among newborns is a top public health concern in developing countries.
Identification and subsequent growth monitoring are key to successful interventions …

[HTML][HTML] Open video data sharing in developmental science and clinical practice

PB Marschik, T Kulvicius, S Flügge, C Widmann… - iScience, 2023 - cell.com
In behavioral research and clinical practice video data has rarely been shared or pooled
across sites due to ethical concerns of confidentiality, although the need of shared large …

Under the cover infant pose estimation using multimodal data

DG Kyrollos, A Fuller, K Greenwood… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Infant pose monitoring during sleep has multiple applications in both healthcare and home
settings. In a healthcare setting, pose detection can be used for region-of-interest (ROI) …

[HTML][HTML] Deep learning to quantify care manipulation activities in neonatal intensive care units

A Majeedi, RM McAdams, R Kaur, S Gupta… - npj Digital …, 2024 - nature.com
Early-life exposure to stress results in significantly increased risk of neurodevelopmental
impairments with potential long-term effects into childhood and even adulthood. As a crucial …

[HTML][HTML] Artificial intelligence detects awareness of functional relation with the environment in 3 month old babies

M Khodadadzadeh, AT Sloan, NA Jones, D Coyle… - Scientific Reports, 2024 - nature.com
A recent experiment probed how purposeful action emerges in early life by manipulating
infants' functional connection to an object in the environment (ie, tethering an infant's foot to …

[HTML][HTML] Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old

H Doi, A Furui, R Ueda, K Shimatani, M Yamamoto… - Scientific Reports, 2023 - nature.com
Infants make spontaneous movements from the prenatal period. Several studies indicate
that an atypical pattern of body motion during infancy could be utilized as an early biomarker …