AI for Aging, Rehabilitation and Intelligent Assisted Living

This book constitutes the refereed proceedings of the 9th International Workshop on AI for Aging Rehabilitation and Intelligent Assisted Living, IJCAI 2026, held in Bremen, Germany, on August 17, 2026.

The total of 12 papers included in the proceedings was carefully reviewed and selected from 19 submissions. They were organized in topical sections as follows:MAISON-LLF Data Challenge; AI for Aging and Intelligent Assisted Living; AI for Rehabilitation and Clinical Decision Support.

Inhalt

.- MAISON-LLF Data Challenge.
.- The MAISON Generalization Challenge: Participant-Aware Evaluation Reveals Limited Cross-Subject Generalization in Recovery Monitoring.
.- Rolling-window Feature Enrichment and Delta-target Analysis in Cross-participant Clinical Outcome Prediction.
.- Multimodal Forecasting of Psychosocial and Functional Recovery in Older Adults After Lower Limb Fracture.
.- AI for Aging and Intelligent Assisted Living.
.- Small Language Models for Early Alzheimer's Risk Detection: Accuracy-Efficiency Trade-offs in the DMV Framework.
.- Psychology-Grounded Individualized Artificial Mental Model.
.- CoRDial: A Multi-Agent Conversational Framework for Care Robotics.
.- Robotic Pet Companions Integrated with Large Language Models for Cognitive, Emotional, and Social Engagement of Elderly Persons.
.- Beyond Physical Safety: Vision-Language Models for Emotional Safety Reasoning in Dementia Care.
.- AI for Rehabilitation and Clinical Decision Support.
.- A Markerless AI Goniometer for Ankle Dorsiflexion Measurement: Algorithm Design, Model Evaluation, and Rehabilitation Implications for Elders.
.- Age and Skin Tone Biases in Remote Heart Rate Monitoring.
.- ACT-A: Acute Concussion Triage Agent for Structured, Guideline-Grounded Concussion Assessment and Referral Support.
.- A Markerless AI Goniometer for Ankle Dorsiflexion
Measurement: Algorithm Design, Model Evaluation, and Rehabilitation
Implications for Elders.