Relationship and impact of hand segmentation in IADLs for predicting Alzheimer
Eyitomilayo Yemisi Babatope, Mireya Saraí García‐Vázquez, Alejandro Álvaro Ramírez‐Acosta · 2025
Read Relationship and impact of hand segmentation in IADLs for predicting Alzheimer by Eyitomilayo Yemisi Babatope, Mireya Saraí García‐Vázquez, Alejandro Álvaro Ramírez‐Acosta (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-11716973.txt.
Description
Eyitomilayo Yemisi Babatope and co-authors test whether watching hands during daily tasks can flag early Alzheimer's disease. Struggling with chores like cooking or handling money is an early sign of decline, and hands carry much of that information. The team built a faster vision model that outlines hands in first-person video and reads coordination and movement from the outlines.
Trained on a public set of hand-interaction videos, the model beat its baseline in both speed and accuracy on several test sets. The authors argue that fine changes in hand movement can mark precise stages of decline, opening a cheap, non-invasive route to earlier detection and care. The work ties the quality of hand outlining directly to how well decline can be predicted.
Catalog record
| CREATOR | Eyitomilayo Yemisi Babatope, Mireya Saraí García‐Vázquez, Alejandro Álvaro Ramírez‐Acosta |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 2 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |