Abstract
Mental health is a growing concern globally. Early detection and diagnosis of mental abnormalities are crucial to mitigating adverse conditions. Mobile health (m-health) has emerged as a possible solution for enhancing the promotion of early detection, particularly in home or elderly care settings. Recent research has shown that eye and head movement reflect mental status and cognitive conditions. The movement are reliable biomarkers for the early diagnosis of mental illness and dementia. However, the equipment required to monitor these movement is often expensive, thus impeding the widespread use of m-health for the daily detection and monitoring of mental health. To address this issue, a low-cost smart eyewear system for the measurement and analysis of eye and head movement is developed and evaluated. The proposed wearable system gives caretakers visualization of health data and enables them to take early and proactive action if the person being monitored has an abnormality.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2023 International Conference on Instrumentation, Control, and Automation, ICA 2023 |
| Pages | 64-69 |
| Number of pages | 6 |
| ISBN (Electronic) | 9798350301274 |
| DOIs | |
| Publication status | Published - 2023 |
| Event | 8th International Conference on Instrumentation, Control, and Automation, ICA 2023 - Jakarta, Indonesia Duration: 9 Aug 2023 → 11 Aug 2023 |
Publication series
| Name | Proceedings of the 2023 International Conference on Instrumentation, Control, and Automation, ICA 2023 |
|---|
Conference
| Conference | 8th International Conference on Instrumentation, Control, and Automation, ICA 2023 |
|---|---|
| Country/Territory | Indonesia |
| City | Jakarta |
| Period | 9/08/23 → 11/08/23 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Eye-tracking
- head movement tracking
- mental illness
- mobile health
- wearable sensor
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