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Early detection of mild cognitive impairment and dementia is vital as many therapeutic interventions are particularly effective at an early stage. A self-administered touch-based cognitive screening instrument, called DemSelf, was developed…

Human-Computer Interaction · Computer Science 2021-02-22 Martin Burghart , Julie L. O'Sullivan , Robert Spang , Jan-Niklas Voigt-Antons

Differences in gait patterns of children with Duchenne muscular dystrophy (DMD) and typically-developing (TD) peers are visible to the eye, but quantifications of those differences outside of the gait laboratory have been elusive. In this…

In this paper we evaluate the suitability of handwriting patterns as potential biomarkers to model Parkinson disease (PD). Although the study of PD is attracting the interest of many researchers around the world, databases to evaluate…

Computer Vision and Pattern Recognition · Computer Science 2019-03-21 R. Castrillon , A. Acien , J. R. Orozco-Arroyave , A. Morales , J. F. Vargas , R. Vera-Rodrıguez , J. Fierrez , J. Ortega-Garcia , A. Villegas

We present an application of gesture recognition using an extension of Dynamic Time Warping (DTW) to recognize behavioural patterns of Attention Deficit Hyperactivity Disorder (ADHD). We propose an extension of DTW using one-class…

Computer Vision and Pattern Recognition · Computer Science 2014-11-06 Miguel Ángel Bautista , Antonio Hernández-Vela , Sergio Escalera , Laura Igual , Oriol Pujol , Josep Moya , Verónica Violant , María Teresa Anguera

Attention Deficit Hyperactivity Disorder (ADHD) causes significant impairment in various domains. Early diagnosis of ADHD and treatment could significantly improve the quality of life and functioning. Recently, machine learning methods have…

Computer Vision and Pattern Recognition · Computer Science 2024-09-05 Yichun Li , Yuxing Yang , Syed Nohsen Naqvi

Attention Deficit Hyperactivity Disorder (ADHD) is a common neurodevelopmental disorder in children, characterized by difficulties in attention, hyperactivity, and impulsivity. Early and accurate diagnosis of ADHD is critical for effective…

Signal Processing · Electrical Eng. & Systems 2025-04-08 Md Bayazid Hossain , Md Anwarul Islam Himel , Md Abdur Rahim , Shabbir Mahmood , Abu Saleh Musa Miah , Jungpil Shin

Handwriting recognition is of crucial importance to both Human Computer Interaction (HCI) and paperwork digitization. In the general field of Optical Character Recognition (OCR), handwritten Chinese character recognition faces tremendous…

Computer Vision and Pattern Recognition · Computer Science 2021-03-18 Boxiang Dong , Aparna S. Varde , Danilo Stevanovic , Jiayin Wang , Liang Zhao

With a prevalence of 5 to 50%, Dry Eye Disease (DED) is one of the leading reasons for ophthalmologist consultations. The diagnosis and quantification of DED usually rely on ocular surface analysis through slit-lamp examinations. However,…

Computer Vision and Pattern Recognition · Computer Science 2022-09-27 Ikram Brahim , Mathieu Lamard , Anas-Alexis Benyoussef , Pierre-Henri Conze , Béatrice Cochener , Divi Cornec , Gwenolé Quellec

The use of hand gestures provides a natural alternative to cumbersome interface devices for Human-Computer Interaction (HCI) systems. As the technology advances and communication between humans and machines becomes more complex, HCI systems…

Computer Vision and Pattern Recognition · Computer Science 2019-09-02 Okan Köpüklü , Yao Rong , Gerhard Rigoll

Handwriting is a natural and versatile method for human-computer interaction, especially on small mobile devices such as smart phones. However, as handwriting varies significantly from person to person, it is difficult to design handwriting…

Human-Computer Interaction · Computer Science 2014-09-11 Sunsern Cheamanunkul , Yoav Freund

This article describes the recognition part of a system that will be used for personalized therapy of dyslalia affecting pre scholars. Dyslalia is a speech disorder that affect pronunciation of one ore many sounds. The full system targets…

Computers and Society · Computer Science 2014-06-03 Stefan-Gheorghe Pentiuc , Ovidiu-Andrei Schipor , Mirela Danubianu , Doina-Maria Schipor

Around ten percent of children may present with a disorder where language does not develop as expected. This often affects vocabulary skills, i.e., finding the words to express wants, needs and ideas, which can influence behaviours linked…

Human-Computer Interaction · Computer Science 2024-04-12 Rafiah Ansari

This paper presents a novel approach to assist students with dyslexia, ADHD, and short attention span in digesting any text-based information more efficiently. The proposed solution utilizes the Multilayer Perceptron (MLP) algorithm for…

Background and objectives: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease.…

Machine Learning · Computer Science 2020-02-14 C. D. Rios-Urrego , J. C. Vásquez-Correa , J. F. Vargas-Bonilla , E. Nöth , F. Lopera , J. R. Orozco-Arroyave

Several reasons explain the significant role that chest X-rays play on supporting clinical analysis and early disease detection in pediatric patients, such as low cost, high resolution, low radiation levels, and high availability. In the…

Other Computer Science · Computer Science 2020-10-08 Afonso U. Fonseca , Gabriel S. Vieira , Fabrízzio A. A. M. N. Soares , Renato F. Bulcão-Neto

Eye tracking spreads through a vast area of applications from ophthalmology, assistive technologies to gaming and virtual reality. Precisely detecting the pupil's contour and center is the very first step in many of these tasks, hence needs…

Computer Vision and Pattern Recognition · Computer Science 2018-08-10 Cihan Topal , Halil Ibrahim Cakir , Cuneyt Akinlar

Air-writing is the process of writing characters or words in free space using finger or hand movements without the aid of any hand-held device. In this work, we address the problem of mid-air finger writing using web-cam video as input. In…

Computer Vision and Pattern Recognition · Computer Science 2019-07-01 Sohom Mukherjee , Arif Ahmed , Debi Prosad Dogra , Samarjit Kar , Partha Pratim Roy

Representing a space of handwriting stroke styles includes the challenge of representing both the style of each character and the overall style of the human writer. Existing VRNN approaches to representing handwriting often do not…

Computer Vision and Pattern Recognition · Computer Science 2020-09-16 Atsunobu Kotani , Stefanie Tellex , James Tompkin

Purpose: Congenital heart defect (CHD) is the most common birth defect. Thoracic echocardiography (TTE) can provide sufficient cardiac structure information, evaluate hemodynamics and cardiac function, and is an effective method for atrial…

Image and Video Processing · Electrical Eng. & Systems 2023-06-07 Yiman Liu , Qiming Huang , Xiaoxiang Han , Tongtong Liang , Zhifang Zhang , Lijun Chen , Jinfeng Wang , Angelos Stefanidis , Jionglong Su , Jiangang Chen , Qingli Li , Yuqi Zhang

With more than 300 million people depressed worldwide, depression is a global problem. Due to access barriers such as social stigma, cost, and treatment availability, 60% of mentally-ill adults do not receive any mental health services.…

Computer Vision and Pattern Recognition · Computer Science 2018-11-28 Albert Haque , Michelle Guo , Adam S Miner , Li Fei-Fei
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