In recent years, the field of mental health has gained increasing attention due to its impact on individuals and society. Detecting and managing mental health conditions in a timely and effective manner is crucial for providing appropriate support and interventions. Innovations in smart sensing enable us to monitor the mental state with wearable sensors more accurately and continuously. However, there are still many unanswered questions and challenges waiting for us to solve. For example: How to accurately monitor a subject's mental health? Which sensed parameter will have the greatest impact on mental health detection? How to fuse the enormous amount of data generated by several sensors? How to distill the most relevant information from the big data for mental health detection?
The objective of this research topic is to bring together researchers, practitioners, and experts from various disciplines to explore and showcase the latest advancements in smart sensing and processing for intelligent mental health detection. We aim to provide a platform for sharing innovative research, methodologies, and applications that contribute to the development of cutting-edge tools and techniques.
Topics of interest include, but are not limited to, the following:
- Wearable sensors for mental health monitoring
- Deep learning approaches for mental health detection
- Advances in deep learning for mental health applications
- Applications and platforms for mental health detection
- Signal processing techniques for mental state analysis
- Internet of Medical Things (IoMT) for mental health monitoring
- Energy efficient IoMT architecture for mental health monitoring
- Data fusion and multimodal sensing for comprehensive mental health analysis
- Ethical considerations and privacy issues in smart sensing for mental health
- Smart sensor in mental health detection: trends and future directions
Keywords:
Intelligent Processing, Smart Sensing, Mental Health
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
In recent years, the field of mental health has gained increasing attention due to its impact on individuals and society. Detecting and managing mental health conditions in a timely and effective manner is crucial for providing appropriate support and interventions. Innovations in smart sensing enable us to monitor the mental state with wearable sensors more accurately and continuously. However, there are still many unanswered questions and challenges waiting for us to solve. For example: How to accurately monitor a subject's mental health? Which sensed parameter will have the greatest impact on mental health detection? How to fuse the enormous amount of data generated by several sensors? How to distill the most relevant information from the big data for mental health detection?
The objective of this research topic is to bring together researchers, practitioners, and experts from various disciplines to explore and showcase the latest advancements in smart sensing and processing for intelligent mental health detection. We aim to provide a platform for sharing innovative research, methodologies, and applications that contribute to the development of cutting-edge tools and techniques.
Topics of interest include, but are not limited to, the following:
- Wearable sensors for mental health monitoring
- Deep learning approaches for mental health detection
- Advances in deep learning for mental health applications
- Applications and platforms for mental health detection
- Signal processing techniques for mental state analysis
- Internet of Medical Things (IoMT) for mental health monitoring
- Energy efficient IoMT architecture for mental health monitoring
- Data fusion and multimodal sensing for comprehensive mental health analysis
- Ethical considerations and privacy issues in smart sensing for mental health
- Smart sensor in mental health detection: trends and future directions
Keywords:
Intelligent Processing, Smart Sensing, Mental Health
Important Note:
All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.