Summary of Iot-based Preventive Mental Health Using Knowledge Graphs and Standards For Better Well-being, by Amelie Gyrard et al.
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being
by Amelie Gyrard, Seyedali Mohammadi, Manas Gaur, Antonio Kung
First submitted to arxiv on: 19 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: Computation and Language (cs.CL); Computers and Society (cs.CY); Machine Learning (cs.LG)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the potential of digital technologies in supporting Sustainable Development Goal 3 “Good Health and Well-Being” by promoting preventive healthcare and reducing burnout and depression. The authors highlight the importance of patient knowledge and focus on taking care of their health, and propose Digital Twins (DTs) as a solution for continuous monitoring of emotional states using physiological signals. DTs can provide personalized insights to improve quality of life and well-being. The paper also discusses challenges in standardizing data formats, communication protocols, and data exchange mechanisms, citing examples from ISO/IEC JTC 1/SC 41 Internet of Things (IoT) and DTs Working Group standards such as “ISO/IEC 21823-3:2021 IoT – Interoperability for IoT Systems – Part 3 Semantic interoperability” and “ISO/IEC CD 30178 – IoT – Data format, value and coding”. To address data integration and knowledge challenges, the authors designed a Mental Health Knowledge Graph (ontology and dataset) to boost mental health. The KG acquires knowledge from ontology-based mental health projects classified within the LOV4IoT ontology catalog (Emotion, Depression, and Mental Health). Furthermore, the KG is mapped to standards when possible, including ETSI SmartM2M’s SAREF4EHAW for representing medical devices and sensors. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper helps us achieve a healthier future by using digital technologies to support mental well-being. It shows how Digital Twins can help people take care of their health by monitoring emotional states and providing personalized advice. The authors also highlight the importance of standardizing data formats and communication protocols to make sure different devices and systems can work together smoothly. |
Keywords
* Artificial intelligence * Knowledge graph
