Enhancing safety in urban mobility with female digital twins
A ‘human digital twin’ (HDT) is a representation of a human from the physical world in the digital world that includes several dimensions, such as physical, behavioural, social, physiological, cognitive and biological aspects. HDTs are an emerging field of study, emerging serendipitously from wearable devices in various fitness and wellness applications, and have become increasingly relevant in precision medicine, as hyper-personalised digital human twins. Today, moreover, real-time biometric data is helping health and fitness care in relation to prevention and prediction. In the same vein, human physiological parameters present in emotions, such as fear, could help in the context of women's mobility safety in urban areas. A human digital twin could be created that evolves throughout a woman's life, providing her with guidance and safety suggestions for her mobility, and assistance in case of need in emergency situations. In this article we present AngelaDT, a custom-designed Human Digital Twin to improve the safety of women's mobility in urban areas. In addition, the platform supporting the digital human twin and its life cycle are also described.
Authors
- Belén Sánchez (ORCID: https://orcid.org/0000-0002-9727-2875)
- Paloma Cáceres García de Marina (ORCID: https://orcid.org/0000-0002-2722-2434)
- Almudena Sierra Alonso
- Daniela Fernández
Institutions
- Universidad Rey Juan Carlos (ES)
Publication Details
- Journal
- AI & Society
- Published
- 2025-12-01
- DOI
- https://doi.org/10.1007/s00146-025-02762-4
- Primary Topic
- Digital Transformation in Industry
- Type
- article
- Field-Weighted Citation Impact
- 0.00