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

University of Ulster
National Institute of Advanced Industrial Science and Technology
Institut für Experimentelle Psychophysiologie Gmbh (IXP)
Institut Mines-Télécom
Universität Siegen
Tohoku University

Research output: Contribution to journal › Article › peer-review

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
Journal	Sensors (Switzerland)
Volume	25
Issue number	7
DOIs	https://doi.org/10.3390/s25072217
Publication status	Published - 1 Apr 2025
Externally published	Yes

Keywords

active and healthy ageing
emotion detection
sensors

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10.3390/s25072217

Cite this

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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.",

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AU - McTear, Michael

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AU - Saif-Ur-Rehman, Muhammad

AU - Hariz, Mossaab

AU - Boudy, Jérôme

AU - Lohr, Christophe

AU - Szczepaniak, Florian

AU - Wieching, Rainer

AU - Ogawa, Toshimi

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AB - 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.

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ER -

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

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Keywords

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