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Stress DeTech-tion: Revolutionizing Wellbeing in Future Networks

Published: 04 September 2024 Publication History

Abstract

As healthcare is becoming increasingly digitally connected, the use of wearable technologies for self-monitoring of overall health and mental well-being has become ubiquitous, bringing new challenges related to the data transmission and processing. This research project explores the cross-impact of information and communications technologies in improving stress-related emotion recognition systems in future networks. Two distinct tracks are delved into: the application of learning architectures and the Internet of Things (IoT) sensors for stress detection, and the investigation of challenges related to telecommunication technologies in the transmission process of emotion recognition data. We aim to pave the way for the widespread adoption of emotion-aware technologies by simultaneously investigating cutting-edge algorithm models for real-time stress detection and tackling issues in telecommunication technologies. The ultimate goal of this project is to improve Human-Technology Interaction (HTI) and advance wellbeing in users’ day-to-day life through a multidisciplinary approach.

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      cover image ACM Conferences
      GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social Good
      September 2024
      481 pages
      ISBN:9798400710940
      DOI:10.1145/3677525
      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Published: 04 September 2024

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      Author Tags

      1. AI
      2. HTI
      3. IoT
      4. ML
      5. Stress
      6. detection
      7. emotions
      8. recognition
      9. sensors
      10. technology
      11. wearables

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      • Extended-abstract
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      • Refereed limited

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      • Jane and Aatos Erkko Foundation

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