Wearable Sensors and Artificial Intelligence for Measuring Human Vital Signs
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 28389
Special Issue Editors
Interests: artificial neural networks; smart sensors; wearable medical devices; IOT; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: neural networks; Artificial Intelligence; mobile health; Telemedicine; IoT; ECG; topology analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Wearable sensors can be extremely useful in providing accurate and reliable information on people’s activities and behaviors. In recent times, there has been a surge in the usage of wearable sensors, especially in the medical sciences, where there are many applications in monitoring physiological activities. In the medical field, it is possible to monitor patients’ body temperature, heart rate, brain activity, muscle motion, and other critical data. It is important to have very simple sensors that could be worn on the body to perform standard medical monitoring. The extraction of relevant features is the most challenging part of the mobile and wearable-sensor-based human activity recognition pipeline. Feature extraction influences the algorithm performance and reduces computation time and complexity. The complexity and variety of body activities makes it difficult to quickly, accurately, and automatically recognize body activities. To solve this problem, Artificial Intelligence is becoming more and more important. With the emergence of deep learning and increased computational powers, these methods are being adopted for automatic feature learning in several areas such as health, image classification, and, recently, for feature extraction and the classification of simple and complex human activity recognition in mobile and wearable sensors. Human activity recognition technology that analyzes data acquired from various types of sensing devices, including vision sensors and embedded sensors, has motivated the development of various context-aware applications in emerging domains, e.g., the Internet of Things (IoT) and healthcare.
The objective of this Special Issue is to collect state-of-the-art research contributions, tutorials, and position papers that address the broad challenges that have been faced in the development of wearable-sensor-based solutions in the field of human health. Original papers describing completed and unpublished work that are not currently under review by any other journal, magazine, or conference are solicited.
Prof. Eros Pasero
Dr. Vincenzo Randazzo
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- wearable sensors
- electronic health
- telemedicine
- artificial intelligence
- machine learning
- deep neural networks
- human health
- vital signs
Benefits of Publishing in a Special Issue
- Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
- Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
- Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
- External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
- e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.
Further information on MDPI's Special Issue polices can be found here.