Action Recognition from 4D Point Clouds for Privacy-Sensitive Scenarios in Assistive Contexts

Irene Ballester, Martin Kampel

Abstract: Dementia is one of the leading causes of disability and dependency among older people worldwide. To address the challenges faced by people with dementia, vision-based technologies have been proposed to provide context-aware assistance. These technologies typically rely on cameras to understand actions and tailor assistance accordingly. However, privacy concerns hinder their adoption, particularly in privacy-sensitive contexts. This study proposes the use of 4D point clouds as a privacy-preserving modality for assistive systems. By relying only on 3D data and excluding RGB information, we aim to enable personalised assistance while mitigating privacy risks.