Abstract
This paper explores the use of sensor-based multimodal data fusion and emotion detection technologies in e-VITA, a three-year EU–Japan collaborative project that developed an AI-powered virtual coaching system to support independent living for older adults. The system integrates these technologies to enable individualized profiling and personalized recommendations across multiple domains, including nutrition, physical exercise, sleep, cognition, spirituality, and social health. Following a review of related work, we detail the implementation and evaluation of data fusion and emotion detection in e-VITA. The paper concludes with a summary of the key research findings and directions for future work.
| Original language | English |
|---|---|
| Article number | 2217 |
| Pages (from-to) | 1-24 |
| Number of pages | 24 |
| Journal | Sensors |
| Volume | 25 |
| Issue number | 7 |
| Early online date | 1 Apr 2025 |
| DOIs | |
| Publication status | Published (in print/issue) - 1 Apr 2025 |
Bibliographical note
Publisher Copyright:© 2025 by the authors.
Data Availability Statement
Data are contained within the article.Funding
This research was funded by the European Union H2020 Programme under grant agreement no. 101016453. The Japanese consortium received funding from the Japanese Ministry of Internal Affairs and Communication (MIC), grant no. JPJ000595.
| Funder number |
|---|
| 101016453 |
| JPJ000595 |
| 101016453 |
Keywords
- active and healthy ageing
- sensors
- emotion detection
- Artificial Intelligence
- Humans
- Japan
- Aged
- Emotions/physiology
- Emotions - physiology
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