Sensing Technologies and Applied Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Environmental Sensing".
Deadline for manuscript submissions: 25 May 2025 | Viewed by 25
Special Issue Editors
Interests: smart sensors; IoT; digital twin; precision agriculture; digital physical therapy
Special Issues, Collections and Topics in MDPI journals
Interests: applied metrology for the digital transition in healthcare and industry; metrology for human–computer interaction; measurement sustainability; measurement uncertainty
Special Issue Information
Dear Colleagues,
Research and development efforts are being increasingly dedicated to technologies like eXtended reality (XR), artificial intelligence (AI), and neural engineering (NE). The advancements in these fields are remarkable, but the aspects related to measurement are often disregarded or poorly investigated. Indeed, the abovementioned fields strongly rely on data; thus, data quality must be controlled, for example, by improving the sensors adopted to acquire such data and making a rigorous uncertainty assessment. For this reason, the role of sensing technologies and applied metrology appears crucial. Moreover, novel sensing approaches may disclose new possibilities in terms of the performance and application of XR, AI, and NE. As a further element, synergy between different expertise should be promoted. For instance, it is well known that AI is becoming increasingly pervasive and benefiting various technologies, even sensing and applied metrology. Therefore, this Special Issue invites contributions with a focus on eXtended reality, artificial intelligence methods, and neural engineering topics like brain-computer interfaces, with special attention given to sensing and measurement.
Areas of interest include, but are not limited to, the following:
- Sensing solutions and measurement principles for enhancing the accuracy and robustness of XR-BCI systems.
- Wearable sensors for neuroimaging.
- Multisensory experiences and improved immersion.
- Psychophysical condition monitoring.
- Advanced machine learning techniques in sensing.
- Deep-learning-based classification.
- VR-supported mindfulness based on EEG signals.
- Immersive user experience with XR-BCI.
- Human-in-the-loop AI.
- Bioengineering and rehabilitation.
- Biosignal processing.
- Instrumental solutions and measurement principles for smart industry.
- New challenge for metrology in the digital transformation scenario.
Dr. Octavian Postolache
Dr. Luigi Duraccio
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 in neuroimaging
- instrumental solutions for XR-BCI systems
- psychophysical condition monitoring.
- in-sensor machine learning for neural interfaces
- deep-learning-based sensor data processing
- bioengineering and rehabilitation
- instrumental solutions for smart industry
- sensing technologies in the digital transformation
