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General movements (GMs) are spontaneous, coordinated body movements in infants that offer valuable insights into the developing nervous system. Assessed through the Prechtl GM Assessment (GMA), GMs are reliable predictors for…

Machine Learning · Computer Science 2025-08-08 Daphné Chopard , Sonia Laguna , Kieran Chin-Cheong , Annika Dietz , Anna Badura , Sven Wellmann , Julia E. Vogt

Perinatal stroke (PS) is a serious condition that, if undetected and thus untreated, often leads to life-long disability, in particular Cerebral Palsy (CP). In clinical settings, Prechtl's General Movement Assessment (GMA) can be used to…

Human-Computer Interaction · Computer Science 2019-02-22 Yan Gao , Yang Long , Yu Guan , Anna Basu , Jessica Baggaley , Thomas Ploetz

To make the earlier medical intervention of infants' cerebral palsy (CP), early diagnosis of brain damage is critical. Although general movements assessment(GMA) has shown promising results in early CP detection, it is laborious. Most…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Tongyi Luo , Jia Xiao , Chuncao Zhang , Siheng Chen , Yuan Tian , Guangjun Yu , Kang Dang , Xiaowei Ding

Automated recognition of autistic behaviors in children is essential for early intervention and objective clinical assessment. However, the development of robust models is severely hindered by strict privacy regulations (e.g., HIPAA) and…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Guangyu Sun , Wenhan Wu , Zhishuai Guo , Ziteng Wang , Pegah Khosravi , Chen Chen

People living with dementia often exhibit behavioural and psychological symptoms of dementia that can put their and others' safety at risk. Existing video surveillance systems in long-term care facilities can be used to monitor such…

Computer Vision and Pattern Recognition · Computer Science 2023-01-19 Pratik K. Mishra , Andrea Iaboni , Bing Ye , Kristine Newman , Alex Mihailidis , Shehroz S. Khan

To assess the integrity of the developing nervous system, the Prechtl general movement assessment (GMA) is recognized for its clinical value in diagnosing neurological impairments in early infancy. GMA has been increasingly augmented…

With rapid advancements in image generation technology, face swapping for privacy protection has emerged as an active area of research. The ultimate benefit is improved access to video datasets, e.g. in healthcare settings. Recent…

Computer Vision and Pattern Recognition · Computer Science 2022-04-14 Ethan Wilson , Frederick Shic , Jenny Skytta , Eakta Jain

Data sharing for medical research has been difficult as open-sourcing clinical data may violate patient privacy. Traditional methods for face de-identification wipe out facial information entirely, making it impossible to analyze facial…

Computer Vision and Pattern Recognition · Computer Science 2020-03-03 Bingquan Zhu , Hao Fang , Yanan Sui , Luming Li

Multimodal image registration is a challenging but essential step for numerous image-guided procedures. Most registration algorithms rely on the computation of complex, frequently non-differentiable similarity metrics to deal with the…

Computer Vision and Pattern Recognition · Computer Science 2023-07-20 Matteo Ronchetti , Wolfgang Wein , Nassir Navab , Oliver Zettinig , Raphael Prevost

Movement synchrony refers to the dynamic temporal connection between the motions of interacting people. The applications of movement synchrony are wide and broad. For example, as a measure of coordination between teammates, synchrony scores…

Computer Vision and Pattern Recognition · Computer Science 2022-08-03 Jicheng Li , Anjana Bhat , Roghayeh Barmaki

General movement assessment (GMA) is a non-invasive tool for the early detection of brain dysfunction through the qualitative assessment of general movements, and the development of automated methods can broaden its application. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-08 Zeqi Luo , Ali Gooya , Edmond S. L. Ho

The existing methods for video anomaly detection mostly utilize videos containing identifiable facial and appearance-based features. The use of videos with identifiable faces raises privacy concerns, especially when used in a hospital or…

Computer Vision and Pattern Recognition · Computer Science 2024-01-19 Pratik K. Mishra , Alex Mihailidis , Shehroz S. Khan

Data sharing is crucial for open science and reproducible research, but the legal sharing of clinical data requires the removal of protected health information from electronic health records. This process, known as de-identification, is…

Machine Learning · Computer Science 2024-01-04 Yuxin Xiao , Shulammite Lim , Tom Joseph Pollard , Marzyeh Ghassemi

Human motion is a behavioral biometric trait that can be used to identify individuals and infer private attributes such as medical conditions. This poses a serious threat to privacy as motion extraction from video and motion capture are…

Cryptography and Security · Computer Science 2025-07-16 Simon Hanisch , Julian Todt , Thorsten Strufe

Clinical videos in the context of Autism Spectrum Disorder are often long-form interactions between children and caregivers/clinical professionals, encompassing complex verbal and non-verbal behaviors. Objective analyses of these videos…

Computer Vision and Pattern Recognition · Computer Science 2024-09-23 Aditya Kommineni , Digbalay Bose , Tiantian Feng , So Hyun Kim , Helen Tager-Flusberg , Somer Bishop , Catherine Lord , Sudarsana Kadiri , Shrikanth Narayanan

Recently developed methods for video analysis, especially models for pose estimation and behavior classification, are transforming behavioral quantification to be more precise, scalable, and reproducible in fields such as neuroscience and…

Quantitative Methods · Quantitative Biology 2023-03-10 Kevin Luxem , Jennifer J. Sun , Sean P. Bradley , Keerthi Krishnan , Eric A. Yttri , Jan Zimmermann , Talmo D. Pereira , Mark Laubach

This paper addresses the problem of sharing drivers' face videos for transportation research while adhering to proper ethical guidelines. The paper first gives an overview of the multitude of problems associated with sharing such data and…

Computer Vision and Pattern Recognition · Computer Science 2023-06-06 Surendrabikram Thapa , Abhijit Sarkar

This paper presents a method for indexing activities of daily living in videos obtained from wearable cameras. In the context of dementia diagnosis by doctors, the videos are recorded at patients' houses and later visualized by the medical…

In recent years, the amount of information collected about human beings has increased dramatically. This development has been partially driven by individuals posting and storing data about themselves and friends using online social networks…

Computers and Society · Computer Science 2014-03-24 Arkadiusz Stopczynski , Riccardo Pietri , Alex Pentland , David Lazer , Sune Lehmann

Providing early diagnosis of cerebral palsy (CP) is key to enhancing the developmental outcomes for those affected. Diagnostic tools such as the General Movements Assessment (GMA), have produced promising results in early diagnosis, however…

Computer Vision and Pattern Recognition · Computer Science 2021-06-10 Kevin D. McCay , Edmond S. L. Ho , Dimitrios Sakkos , Wai Lok Woo , Claire Marcroft , Patricia Dulson , Nicholas D. Embleton
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