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

Michael McTear¹, Kristiina Jokinen², Sonja Dana Roelen³

¹School of Computing, Ulster University, Belfast BT155 1AP, UK.

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|April 12, 2025

Summary

This summary is machine-generated.

This study introduces the e-VITA system, using AI and sensor data fusion for personalized virtual coaching to enhance independent living for older adults. It focuses on emotion detection and multimodal data for tailored recommendations.

Keywords:

active and healthy ageing emotion detection sensors

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Area of Science:

Artificial Intelligence
Gerontology
Human-Computer Interaction

Background:

Aging populations require innovative solutions for independent living.
Personalized support systems are crucial for older adults' well-being.
Integrating technology into daily life can enhance quality of life for seniors.

Purpose of the Study:

To explore sensor-based multimodal data fusion and emotion detection for an AI virtual coach.
To develop and evaluate the e-VITA system for supporting independent living in older adults.
To enable individualized profiling and personalized recommendations across various health domains.

Main Methods:

Utilized sensor-based multimodal data fusion.
Implemented emotion detection technologies.
Developed an AI-powered virtual coaching system (e-VITA).
Conducted a review of related work and detailed system implementation and evaluation.

Main Results:

Successfully integrated data fusion and emotion detection into the e-VITA system.
Enabled personalized recommendations for nutrition, exercise, sleep, cognition, spirituality, and social health.
Demonstrated the potential of AI virtual coaching for older adults' independent living.

Conclusions:

Sensor-based multimodal data fusion and emotion detection are effective for AI virtual coaching.
The e-VITA project provides a framework for personalized support for older adults.
Future work should focus on refining the system and expanding its application.