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We describe the architecture of Sammen Om Demens (SOD), an application for portable devices aiming at helping persons with dementia when wandering and getting lost through the involvement of caregivers, family members, and ordinary citizens…

Software Engineering · Computer Science 2021-10-26 Nicklas Sindlev Andersen , Marco Chiarandini , Jacopo Mauro

Customizable 3D avatar-based facial expression stimuli may improve user engagement in behavioral biomarker discovery and therapeutic intervention for autism, Alzheimer's disease, facial palsy, and more. However, there is a lack of…

The early detection of developmental disorders is key to child outcome, allowing interventions to be initiated that promote development and improve prognosis. Research on autism spectrum disorder (ASD) suggests behavioral markers can be…

Computer Vision and Pattern Recognition · Computer Science 2012-11-09 Jordan Hashemi , Thiago Vallin Spina , Mariano Tepper , Amy Esler , Vassilios Morellas , Nikolaos Papanikolopoulos , Guillermo Sapiro

Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD) and Frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. EEG, a non-invasive tool for recording…

Signal Processing · Electrical Eng. & Systems 2024-08-21 Shivani Ranjan , Ayush Tripathi , Harshal Shende , Robin Badal , Amit Kumar , Pramod Yadav , Deepak Joshi , Lalan Kumar

Attention-deficit/hyperactivity disorder (ADHD) is a neurodevelopmental disorder that is highly prevalent and requires clinical specialists to diagnose. It is known that an individual's viewing behavior, reflected in their eye movements, is…

Depression and post-traumatic stress disorder (PTSD) are psychiatric conditions commonly associated with experiencing a traumatic event. Estimating mental health status through non-invasive techniques such as activity-based algorithms can…

Beneficial daily activity interventions have been shown to improve both the physical and mental health of older adults. However, there is a lack of robust objective metrics and personalized strategies to measure their impact. In this study,…

Human-Computer Interaction · Computer Science 2025-07-29 Longfei Chen , Christopher Lochhead , Robert B. Fisher , Nusa Faric , Jacques Fleuriot , Subramanian Ramamoorthy

Measuring brain activity with electroencephalography (EEG) is mature enough to assess mental states. Combined with existing methods, such tool can be used to strengthen the understanding of user experience. We contribute a set of methods to…

Human-Computer Interaction · Computer Science 2016-01-13 Jérémy Frey , Maxime Daniel , Julien Castet , Martin Hachet , Fabien Lotte

Electrodermal activity (EDA) is considered a standard marker of sympathetic activity. However, traditional EDA measurement requires electrodes in steady contact with the skin. Can sympathetic arousal be measured using only an optical…

Computer Vision and Pattern Recognition · Computer Science 2023-11-14 Bjoern Braun , Daniel McDuff , Tadas Baltrusaitis , Christian Holz

Behavioral and Psychological Symptoms of Dementia (BPSD) impact dementia care substantially, affecting both patients and caregivers. Effective management and early detection of BPSD are crucial to reduce the stress and burden on caregivers…

Signal Processing · Electrical Eng. & Systems 2024-10-25 Benny Wei-Yun Hsu , Yu-Ming Chen , Yuan-Han Yang , Vincent S. Tseng

This paper presents a novel Electrodermal Activity (EDA) signal acquisition system, designed to address the challenges of stress monitoring in contemporary society, where stress affects one in four individuals. Our system focuses on…

Systems and Control · Electrical Eng. & Systems 2024-09-11 Ruoyu Zhang , Ruijie Fang , Elahe Hosseini , Chongzhou Fang , Ning Miao , Houman Homayoun

The automatic, sensor-based assessment of challenging behavior of persons with dementia is an important task to support the selection of interventions. However, predicting behaviors like apathy and agitation is challenging due to the large…

Machine Learning · Computer Science 2024-08-13 Maximilian Popko , Sebastian Bader , Stefan Lüdtke , Thomas Kirste

Some evidence suggests that people with autism spectrum disorder exhibit patterns of brain functional dysconnectivity relative to their typically developing peers, but specific findings have yet to be replicated. To facilitate this…

Methodology · Statistics 2025-03-03 Hyoshin Kim , Sujit K. Ghosh , Emily C. Hector

Student engagement is an important factor in meeting the goals of virtual learning programs. Automatic measurement of student engagement provides helpful information for instructors to meet learning program objectives and individualize…

Computer Vision and Pattern Recognition · Computer Science 2023-02-07 Ali Abedi , Shehroz S. Khan

Facing the severe global dementia problem, an exploration was conducted adopting the technology of virtual reality (VR). This report lays a technical foundation for further research project "Early Detection of Dementia Using Testing Tools…

Human-Computer Interaction · Computer Science 2020-01-22 Yiming Zhong , Yuan Tian , Mira Park , Soonja Yeom

Physical agents that can autonomously generate engaging, life-like behaviour will lead to more responsive and interesting robots and other autonomous systems. Although many advances have been made for one-to-one interactions in well…

Human-Computer Interaction · Computer Science 2020-06-25 Lingheng Meng , Daiwei Lin , Adam Francey , Rob Gorbet , Philip Beesley , Dana Kulić

Alterations in functional brain connectivity characterize neurodegenerative disorders such as Alzheimer's disease (AD) and frontotemporal dementia (FTD). As a non-invasive and cost-effective technique, electroencephalography (EEG) is…

Applications · Statistics 2025-11-19 Paolo Victor Redondo , Raphaël Huser , Hernando Ombao

Engagement measurement finds application in healthcare, education, services. The use of physiological and behavioral features is viable, but the impracticality of traditional physiological measurement arises due to the need for contact…

Computer Vision and Pattern Recognition · Computer Science 2024-05-15 Alexander Vedernikov , Zhaodong Sun , Virpi-Liisa Kykyri , Mikko Pohjola , Miriam Nokia , Xiaobai Li

This paper presents a method for indexing human ac- tivities in videos captured from a wearable camera being worn by patients, for studies of progression of the dementia diseases. Our method aims to produce indexes to facilitate the…

A significant number of people are suffering from cognitive impairment all over the world. Early detection of cognitive impairment is of great importance to both patients and caregivers. However, existing approaches have their shortages,…

Computer Vision and Pattern Recognition · Computer Science 2021-11-10 Zixiang Fei , Erfu Yang , Leijian Yu , Xia Li , Huiyu Zhou , Wenju Zhou