2025 Project: HazARd In-Home Clutter Classification Algorithm Development
6 weeks: June 30-Aug 8
The HazARd clutter detection and caregiver decision support tools are designed to answer questions about how we can help caregivers of older adults to be more informed, connect them to resources for caregiving, and help automate the process of in-home safety analysis. HazARd's prior work focused on tripping hazards while this project is mapping between 3D models of the home to existing clutter or hoarding models used in the caregiving community. This project is focused on developing and evaluating algorithms that map from data collected using an augmented reality headset to the International OCD Foundation's In-Home Clutter Ratings scale. The ultimate goal is to improve the ability for professional and familiar caregivers to improve the caregiving workflow for older adults who are aging in place.
Gerontechnology is a field of research and technology development addressing the needs of senior care. The HazARd project has continued to develop novel approaches and evaluate their design where augmented reality (AR) platforms are used to gather 3D models of homes, and then algorithms are used to classify features of the living space. The earlier works done by HazARd have included tripping hazard detection and real time notification in the AR interface, and segmenting the floor of home to show safe walking paths based on OSHA requirements. The latest phase of research identifys clutter on floors and raised surfaces.
Older adults who age in place face a wide range of challenges to continue to live safely and independently. Dr. Crandall's earlier works surveyed professional and familial caregivers of older adults to determine where technologies could be developed to help both the older adults and their caregivers in helping people live longer and healthier lives. The two key areas found were detecting and mitigating tripping hazards and detecting clutter build up which affects both tripping hazards and other health hazards. The Fall PreNoSys work done by the HazARd project helped address approaches on tripping hazards. This latest phase will ideally extend the use of an AR platform to detect, classify, and report on clutter in the home, and be a decision support system for caregivers.
