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

Michael McTear; Kristiina Jokinen; Sonja Dana Roelen; Muhammad Saif-Ur-Rehman; Mossaab Hariz; Jérôme Boudy; Christophe Lohr; Florian Szczepaniak; Rainer Wieching; Toshimi Ogawa

doi:10.3390/s25072217

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

Michael McTear, Kristiina Jokinen, Sonja Dana Roelen, Muhammad Saif-Ur-Rehman, Mossaab Hariz, Jérôme Boudy, Christophe Lohr, Florian Szczepaniak, Rainer Wieching, Toshimi Ogawa

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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	https://doi.org/10.3390/s25072217
Publication status	Published online - 1 Apr 2025

Bibliographical note

Publisher Copyright:
© 2025 by the authors.

Data Access Statement

Data are contained within the article.

Keywords

active and healthy ageing
sensors
emotion detection
Artificial Intelligence
Humans
Japan
Aged
Emotions/physiology

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10.3390/s25072217

sensors-25-02217Final published version, 7.63 MBLicence: CC BY

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

Abstract

Bibliographical note

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Keywords

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