Computational Design of an Adaptable Harness-Based Carrying System for Patients with Dementia Symptoms

Abstract Patients with dementia often encounter difficulties in carrying essential items such as health cards, IDs, keys, and money. Traditional bags and pockets can be inadequate; bags are often misplaced, and pockets may not be suitable. This thesis presents the development of an ergonomic harness-based carrying system using body geometry analysis based on the scan data of elderly patients suffering from dementia symptoms, and virtual garment simulation, allowing for optimal adjustment to the body even in motion while ensuring a high level of adaptability, comfort, and functionality. The resulting harness-belt system effectively addresses the needs of carrying essential items and promotes autonomy for patients.