# Integrating Environmental Data for Mental Health Monitoring: A Data-Driven IoT-Based Approach
## 6 Conclusions
### Future Directions  
Building on the current findings, several avenues for future research and development are recommended:  
* **Dataset Expansion:** Collecting larger datasets from diverse environments and populations will enhance model accuracy and generalisability. * **Feature Augmentation:** Expanding input features to include physiological signals, activity data, or contextual information will provide a more comprehensive understanding of stress factors. * **Edge Device Deployment:** Developing lightweight versions of the models for deployment on edge devices can enable real-time stress monitoring and feedback in resource-constrained settings. * **Adaptive Models:** Designing adaptive models that learn individual users' stress responses over time can improve the system's personalisation and accuracy. * **Integrated Intervention Systems:** Combining stress monitoring with intervention mechanisms, such as environmental adjustments or relaxation prompts, can create a holistic stress management solution. * **Data Augmentation and Class Imbalance Mitigation:** Addressing the challenge of class imbalance in stress detection systems, and incorporating techniques such as oversampling, synthetic data generation, or cost-sensitive learning to create more robust models, can improve performance and fairness, especially when dealing with underrepresented stress levels in the data. These directions aim to refine the system and broaden its applicability, ensuring a more impactful contribution to the field of stress management and mental well-being. S.Z. : Conceptualization, methodology, software, validation, formal analysis, investigation, resources, data curation, writing--original draft preparation, visualization. M.N. : Conceptualization, methodology, validation, formal analysis, writing--review and editing, supervision, project administration. R.S. : Validation, formal analysis, writing--review and editing, supervision, project administration. All authors have read and agreed to the published version of the manuscript. This research received no external funding. The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the code being long and complex, which requires careful handling and documentation to ensure proper usage. * [PERSON] et al. (2023) [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] BMAE-Net: A data-driven weather prediction network for smart agriculture. _Agronomy_**2023**, _13_, 625. [CrossRef]
* Extreme Heat Can Take a Toll on Mental Health. Available online: [[https://www.psychiatry.org/news-room/apa-blogs/extreme-heat-can-take-a-toll-on-mental-health](https://www.psychiatry.org/news-room/apa-blogs/extreme-heat-can-take-a-toll-on-mental-health)]([https://www.psychiatry.org/news-room/apa-blogs/extreme-heat-can-take-a-toll-on-mental-health](https://www.psychiatry.org/news-room/apa-blogs/extreme-heat-can-take-a-toll-on-mental-health)) (accessed on 18 December 2024). * [PERSON] et al. (2023) [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; et al. How ambient temperature affects mood: An ecological momentary assessment study in Switzerland. _Environ. Health_**2023**, _22_, 52. [CrossRef]
* [PERSON] (2023) [PERSON]; [PERSON] [PERSON] High temperatures on mental health: Recognizing the association and the need for proactive strategies--A perspective. _Health Sci. Rep._**2023**, \(6\), e1729. [CrossRef] [PubMed]
* [PERSON] et al. (2016) [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Increasing ambient temperature reduces emotional well-being. _Environ. Res._**2016**, _151_, 124-129. [CrossRef] [PubMed]
* Unaffordable Home Heating Increases Risk of Severe Mental Distress.