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This article provides an overview of recent research in Child-Computer Interaction with mobile devices and describe our framework ChildCI intended for: i) overcoming the lack of large-scale publicly available databases in the area, ii)…

This article presents a comprehensive analysis of the different tests proposed in the recent ChildCI framework, proving its potential for generating a better understanding of children's neuromotor and cognitive development along time, as…

Human-Computer Interaction · Computer Science 2024-03-25 Juan Carlos Ruiz-Garcia , Ruben Tolosana , Ruben Vera-Rodriguez , Julian Fierrez , Jaime Herreros-Rodriguez

Early detection of atypical cognitive-motor development is critical for timely intervention, yet traditional assessments rely heavily on subjective, static evaluations. The integration of digital devices offers an opportunity for…

This article proposes a novel Children-Computer Interaction (CCI) approach for the task of age group detection. This approach focuses on the automatic analysis of the time series generated from the interaction of the children with mobile…

Even though the computerised assessment of developmental dysgraphia (DD) based on online handwriting processing has increasing popularity, most of the solutions are based on a setup, where a child writes on a paper fixed to a digitizing…

In this paper we present an integrated robotic system capable of participating in and performing a wide range of educational and entertainment tasks, in collaboration with one or more children. The system, called ChildBot, features…

Studies have shown that children can be exposed to smart devices at a very early age. This has important implications on research in children-computer interaction, children online safety and early education. Many systems have been built…

Human-Computer Interaction · Computer Science 2018-08-07 Toan Nguyen , Aditi Roy , Nasir Memon

Cognitive diagnosis is a fundamental issue in intelligent education, which aims to discover the proficiency level of students on specific knowledge concepts. Existing approaches usually mine linear interactions of student exercising process…

Machine Learning · Computer Science 2020-03-04 Fei Wang , Qi Liu , Enhong Chen , Zhenya Huang , Yuying Chen , Yu Yin , Zai Huang , Shijin Wang

While many action recognition techniques have great success on public benchmarks, such performance is not necessarily replicated in real-world scenarios, where the data comes from specific application requirements. The specific real-world…

Computer Vision and Pattern Recognition · Computer Science 2021-11-29 Saif Sayed , Vassilis Athitsos

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

Free play is a fundamental aspect of early childhood education, supporting children's cognitive, social, emotional, and motor development. However, assessing children's development during free play poses significant challenges due to the…

Artificial Intelligence · Computer Science 2025-05-07 Yuanyuan Yang , Yuan Shen , Tianchen Sun , Yangbin Xie

Social robots, owing to their embodied physical presence in human spaces and the ability to directly interact with the users and their environment, have a great potential to support children in various activities in education, healthcare…

Robotics · Computer Science 2024-04-23 Irina Rudenko , Andrey Rudenko , Achim J. Lilienthal , Kai O. Arras , Barbara Bruno

As mobile technologies have become ubiquitous in recent years, computer-based cognitive tests have become more popular and efficient. In this work, we focus on assessing motor function in children by analyzing their gait movements. Although…

Computer Vision and Pattern Recognition · Computer Science 2021-07-08 Mohammad Zaki Zadeh , Ashwin Ramesh Babu , Ashish Jaiswal , Maria Kyrarini , Morris Bell , Fillia Makedon

Physical growth traits can be naturally represented by continuous functions. In a large dataset of infancy growth patterns, we develop a practical approach to infer statistical associations between growth-trajectories and IQ performance in…

We present a longitudinal study of face recognition performance on Children Longitudinal Face (CLF) dataset containing 3,682 face images of 919 subjects, in the age group [2, 18] years. Each subject has at least four face images acquired…

Computer Vision and Pattern Recognition · Computer Science 2017-11-15 Debayan Deb , Neeta Nain , Anil K. Jain

Reading is foundational for educational, employment, and economic outcomes, but a persistent proportion of students globally struggle to develop adequate reading skills. Some countries promote digital tools to support reading development,…

Applications · Statistics 2026-03-19 Yawen Ma , Anastasia Ushakova , Kate Cain , Gabriel Wallin

Ear recognition as a biometric modality is becoming increasingly popular, with promising broader application areas. While current applications involve adults, one of the challenges in ear recognition for children is the rapid structural…

Computer Vision and Pattern Recognition · Computer Science 2024-08-06 Afzal Hossain , Tipu Sultan , Stephanie Schuckers

Standardization of data items collected in paediatric clinical trials is an important but challenging issue. The Clinical Data Interchange Standards Consortium (CDISC) data standards are well understood by the pharmaceutical industry but…

We present dialogue management routines for a system to engage in multiparty agent-infant interaction. The ultimate purpose of this research is to help infants learn a visual sign language by engaging them in naturalistic and socially…

Human-Computer Interaction · Computer Science 2018-09-06 Setareh Nasihati Gilani , David Traum , Arcangelo Merla , Eugenia Hee , Zoey Walker , Barbara Manini , Grady Gallagher , Laura-Ann Petitto

New interactive physical-digital play technologies are shaping the way children plan. These technologies refer to digital play technologies that engage children in analogue forms of behaviour, either alone or with others. Current…

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