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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

The assessment of general movements (GMs) in infants is a useful tool in the early diagnosis of neurodevelopmental disorders. However, its evaluation in clinical practice relies on visual inspection by experts, and an automated solution is…

Computer Vision and Pattern Recognition · Computer Science 2022-07-08 Yuki Hashimoto , Akira Furui , Koji Shimatani , Maura Casadio , Paolo Moretti , Pietro Morasso , Toshio Tsuji

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

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…

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

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

General movement assessment (GMA) of infant movement videos (IMVs) is an effective method for early detection of cerebral palsy (CP) in infants. We demonstrate in this paper that end-to-end trainable neural networks for image sequence…

Computer Vision and Pattern Recognition · Computer Science 2022-11-18 Haomiao Ni , Yuan Xue , Liya Ma , Qian Zhang , Xiaoye Li , Xiaolei Huang

Infants' neurological development is heavily influenced by their motor skills. Evaluating a baby's movements is key to understanding possible risks of developmental disorders in their growth. Previous research in psychology has shown that…

Computer Vision and Pattern Recognition · Computer Science 2023-01-18 Bruno Tafur , Marwa Mahmoud , Staci Weiss

Gait disorders are commonly observed in older adults, who frequently experience various issues related to walking. Additionally, researchers and clinicians extensively investigate mobility related to gait in typically and atypically…

Human-Computer Interaction · Computer Science 2025-04-30 Kazi Shahrukh Omar , Shuaijie Wang , Ridhuparan Kungumaraju , Tanvi Bhatt , Fabio Miranda

This is a brief survey of the research performed by Grandata Labs in collaboration with numerous academic groups around the world on the topic of human mobility. A driving theme in these projects is to use and improve Data Science…

Social and Information Networks · Computer Science 2020-02-27 Carlos Sarraute , Martin Minnoni

Infants' spontaneous and voluntary movements mirror developmental integrity of brain networks since they require coordinated activation of multiple sites in the central nervous system. Accordingly, early detection of infants with atypical…

Computer Vision and Pattern Recognition · Computer Science 2019-12-19 Manu Airaksinen , Okko Räsänen , Elina Ilén , Taru Häyrinen , Anna Kivi , Viviana Marchi , Anastasia Gallen , Sonja Blom , Anni Varhe , Nico Kaartinen , Leena Haataja , Sampsa Vanhatalo

In the past decade, large scale mobile phone data have become available for the study of human movement patterns. These data hold an immense promise for understanding human behavior on a vast scale, and with a precision and accuracy never…

Physics and Society · Physics 2016-02-17 Nathalie E. Williams , Timothy A. Thomas , Matthew Dunbar , Nathan Eagle , Adrian Dobra

Analyzing mobility behavior of users is extremely useful to create or improve existing services. Several research works have been done in order to study mobility behavior of users that mainly use users' significant locations. However, these…

Machine Learning · Computer Science 2019-07-08 Arielle Moro , Benoît Garbinato , Valérie Chavez-Demoulin

Gait analysis is critical in the early detection and intervention of motor neurological disorders in infants. Despite its importance, traditional methods often struggle to model the high variability and rapid developmental changes inherent…

Graphs are very effective tools in visualizing information and are used in many fields including the medical field. In most developing countries primary care, graphs are used to monitor child growth. These measures are therefore often…

Computers and Society · Computer Science 2021-08-24 Thea Hvalen Thodesen , Uy Tran , Jens Kaasboll , Chipo Kanjo , Tiwonge Manda

The timely identification of mental disorders in adolescents is a global public health challenge.Single factor is difficult to detect the abnormality due to its complex and subtle nature. Additionally, the generalized multimodal…

Machine Learning · Computer Science 2023-09-20 Zhicheng Du , Chenyao Jiang , Xi Yuan , Shiyao Zhai , Zhengyang Lei , Shuyue Ma , Yang Liu , Qihui Ye , Chufan Xiao , Qiming Huang , Ming Xu , Dongmei Yu , Peiwu Qin

Mobile manipulation constitutes a fundamental task for robotic assistants and garners significant attention within the robotics community. A critical challenge inherent in mobile manipulation is the effective observation of the target while…

Robotics · Computer Science 2024-03-05 Jiazhao Zhang , Nandiraju Gireesh , Jilong Wang , Xiaomeng Fang , Chaoyi Xu , Weiguang Chen , Liu Dai , He Wang

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

Walking is one of the most common modes of terrestrial locomotion for humans. Walking is essential for humans to perform most kinds of daily activities. When a person walks, there is a pattern in it, and it is known as gait. Gait analysis…

Human-Computer Interaction · Computer Science 2022-08-04 Md Shahriar Tasjid , Ahmed Al Marouf
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