Dementia Care

Latest papers

18 papers2 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

CogDrift-4D: Hierarchical Multimodal Modeling of Temporal Behavioral Decay for MCI Detection
Oct 14, 2026Sankalp Vaish, Sumukh Veeramalla, Rishank Singh +3Dementia Care Speech-Based Dementia Detection
Department of Computer Science, University of Massachusetts Boston, MA, USA · School of Medicine, University of North Carolina at Chapel hill, NC, USA
TALK-Dem: Benchmarking Embodied Task Planning under Dementia-Associated Communication Patterns
Sep 29, 2026Guangxin Zhao, Yiran Hu, Yuan Cao +7Large Language Model-Based Robot Planning Robot Task Planning
University of Notre Dame · Nanyang Technological University · Tohoku University
Governed AI-Agent Coordination for Dementia Care: Architecture, Safety Contracts, and Evidence-Derived Workflow Verification
Sep 22, 2026Francesca Medda, Hui GongAI Agent Reliability Healthcare
UCL Institute of Finance and Technology University College London London, United Kingdom
CareMirror: Bringing Caregiver Wellbeing into the Dementia Care Ecosystem
Sep 15, 2026Jiayue Melissa Shi, Ethan Nguyen, Drishti Goel +7Healthcare Human-Centered AI
University of Illinois Urbana-Champaign, USA · OSF HealthCare, USA · Indiana University Indianapolis, USA +1
DementiaCare-Bench: A Modality-Validated Video Benchmark
Sep 11, 2026Afrouz Sheikholeslami, Yuankai Qi, Xuyun Zhang +4Alzheimer's Disease Healthcare
School of Computing, Macquarie University, Sydney, NSW, Australia · School of Electrical and Computer Engineering, University of Sydney, Sydney, NSW, Australia · University of California, Merced, CA, USA
Under-Mattress Temporal Sensing for Next-Day Agitation Risk Scoring in Dementia Wards
Aug 28, 2026Zhen Liu, Marta Bono, Robbe Decloedt +3Clinical Risk Prediction Dementia Care
1STADIUS Center, Department of Electrical Engineering, KU Leuven, Leuven, Belgium · 2Geriatric Psychiatry, University Psychiatric Center KU Leuven, Leuven, Belgium · 3Neuropsychiatry, Department of Neurosciences, Leuven Brain Institute, KU Leuven, Leuven, Belgium +2
Stakeholder Insights for Designing In-Home Social Robots for Dementia Disorientation Detection and Caregiver-Aware Intervention
Aug 22, 2026Emmanuel Akinrintoyo, Nicole SalomonsDementia Care Social Robotics
Imperial College London
Factors Influencing Conversational Engagement in Robot-Delivered Individual Cognitive Stimulation Therapy (iCST) for Dementia in Home Settings
Jul 9, 2026Emmanuel Akinrintoyo, Nicole SalomonsHealthcare Dementia Care
Imperial College London
Co-STAR: Cognitive Stimulation Therapy by an Autonomous Robot for Dementia -- A One-Week In-Home Study
Jul 7, 2026Emmanuel Akinrintoyo, Nicole SalomonsHealthcare Dementia Care
Imperial College London
A Taxonomy of Mental Health and Technology Needs for Alzheimer's and Dementia Caregivers
Jun 17, 2026Keran Wang, Drishti Goel, Jiayue Melissa Shi +5Healthcare Dementia Care
Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, 61801, IL, USA. · Department of Psychology, University of Illinois Urbana-Champaign, Champaign, 61820, IL, USA. · Illinois Neurological Institute, OSF HealthCare, Peoria, 61603, IL, USA. +2
Can the Environment Speak for Itself? $T^{2}$ -GRPO: A Turn-Trajectory Group Relative Policy Optimization for Caregiver Agents
Jun 7, 2026Yutong Song, Jiang Wu, Pengfei Zhang +4Reward Shaping Healthcare
University of California, Irvine · Independent Researcher · Kennesaw State University
AI-Care: A Conversational Agentic System for Task Coordination in Alzheimer's Disease Care
May 8, 2026Preyash Yadav, Michelle Cohn, Priyanka Koppolu +5Alzheimer's Disease Tool-Using Agents
Department of Computer Science University of California, Davis Davis, USA · Department of Linguistics University of California, Davis Davis, USA · Department of Neurology University of California, Davis Sacramento, USA +1
MEMOR-E: In-Context and Fine-Tuned LLM Personalization for Alzheimer's Assistive Robotics
Apr 28, 2026Maissa Abir Smaili, Eren Sadikoglu, Ransalu SenanayakeAlzheimer's Disease LLM Personalization
Istanbul Medipol University Istanbul, Türkiye · Arizona State University Tempe, USA
When AI Tells You What You Want to Hear: Sycophantic Behavior of Large Language Models in Dementia Care Settings
Apr 13, 2026Christian KolbDementia Care LLM Sycophancy
An Edge-Host-Cloud Architecture for Robot-Agnostic, Caregiver-in-the-Loop Personalized Cognitive Exercise: Multi-Site Deployment in Dementia Care
Apr 1, 2026Wenzheng Zhao, Ruth Palan Lopez, Shu Fen Wung +1Dementia Care Assistive Robotics
Worcester Polytechnic Institute
Cerebra: A Multidisciplinary AI Board for Multimodal Dementia Characterization and Risk Assessment
Mar 23, 2026Sheng Liu, Long Chen, Zeyun Zhao +16Clinical Risk Prediction Clinical Decision-Making
Department of Biomedical Data Science, Stanford University · Department of Radiation Oncology, Stanford University · Center for Data Science, New York University +13
SafeScreen: A Safety-First Screening Framework for Personalized Video Retrieval for Vulnerable Users
Mar 12, 2026Wenzheng Zhao, Madhava Kalyan Gadiputi, Fengpei YuanDementia Care Safety Filtering
Worcester Polytechnic Institute, Worcester, MA, USA
An Interactive LLM-Based Simulator for Dementia-Related Activities of Daily Living
Mar 6, 2026Kruthika Gangaraju, Shu-Fen Wung, Kevin Berner +2Dementia Care Large Language Model-Based Role-Play Simulation
Worcester Polytechnic Institute Worcester, Massachusetts, USA · University of California Davis Sacramento, CA, USA · MGH Institute of Health Professionals Boston, MA, USA +1

Oct 14, 2026J/K move · Enter open · S save

CogDrift-4D: Hierarchical Multimodal Modeling of Temporal Behavioral Decay for MCI Detection

Sankalp Vaish, Sumukh Veeramalla, Rishank Singh, Caroline Summerour+2

Department of Computer Science, University of Massachusetts Boston, MA, USA · School of Medicine, University of North Carolina at Chapel hill, NC, USA

Dementia Care Speech-Based Dementia Detection Multimodal Learning

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Early detection of mild cognitive impairment remains a critical bottleneck in dementia care, demanding scalable tools capable of capturing subtle behavioral decay. To capture the subtle temporal changes of cognitive decline, we introduce a behavioral dataset collected across seven unscripted multimodal interactions over an 18-month horizon. This dataset formalizes continuous, multi-session interactions into a dense 4D tensor (Batch * Session * Time * Feature) that explicitly preserves concurrent local dynamics alongside long-term changes. To effectively process these complex behavioral patterns, we propose CogDrift-4D: a novel, hierarchical 4D Transformer framework. To capture the complex trajectory of cognitive decline, CogDrift-4D implements a dual-level behavioral fatigue and drift modeling architecture. At the intra-session level, the model computes localized least-squares regression slopes to quantify the acute ``fading'' of frame-level facial action units and acoustic energy. At the inter-session level, a recursive cross-attention feedback encoder acts as a cumulative fatigue accumulator, mapping the patient's continuous behavioral drift across successive sessions. To mitigate environmental noise and track failures across sessions, a localized Quality Gate dynamically filters low-integrity features before final fusion, also an early fusion that integrates semantic insights with raw physical dynamics. Evaluated on structured verbal and linguistic interactions, our architecture successfully detects MCI with a classification accuracy of 0.733 +- 0.13 and an F1-score of 0.716 +- 0.14, outperforming advanced baselines. The framework provides a mathematically rigorous, scalable, and robust foundation for home-based, real-time dementia screening.