# Streamlining Sensor Technology: Focusing on Data Fusion and Emotion Evaluation in the e-VITA Project

## TL;DR

This paper describes the e-VITA project, which uses sensor data and emotion detection to create a personalized virtual coaching system for older adults.

## Contribution

The paper introduces a novel AI-powered system that integrates multimodal data fusion and emotion evaluation for personalized health coaching.

## Key findings

- The system successfully integrates sensor data to create individualized profiles for older adults.
- Emotion detection technologies were effectively implemented to support personalized recommendations.
- The project highlights the potential of AI in enhancing independent living through tailored health interventions.

## 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.