Special Issue "Advanced Sensing and Machine-Learning-Based Analysis of Human Behaviour and Physiology"
Deadline for manuscript submissions: 31 December 2021.
Interests: machine learning; pattern recognition; robotics
Interests: biosensory data analysis; wearable sensors; haptics
Interests: intelligent robotics; machine learning; automation
Interests: advanced neural interfaces; biologically inspired autonomous systems; biomedical signal processing for both in-vivo and ex-vivo applications; neuronal modeling and computing
Special Issues and Collections in MDPI journals
A successful human–machine/human–robot interaction is dependent on adequate communication and understanding between humans and machines/robots during their contact. Recent development in sensing and analysis technology has enabled more efficient human–machine/human–robot interaction. Particularly, a good understanding of human behaviour and physiology allows machines/robots to interact more intuitively with users in a human-centred nature and is prioritised by a growing research interest. As a response, advanced sensing technology (wearable sensing, remote sensing, multimodal sensing, and so on) in combination with machine learning based analysis (feature engineering, classic machine learning models, deep learning approaches, and so on) keeps advancing to accommodate the needs of human–machine/human–robot systems and their applications.
This Special Issue aims to gather the most recent development in sensing- and machine-learning-based analysis with a particular focus on human behaviour and physiology, to push forward the frontier of human–machine/human–robot interaction. The scope of this Special Issue features but is not limited to the following areas:
- Advanced sensory acquisition
- Tactile sensor development
- Wearable sensing device
- Remote sensing device
- Multimodal sensing
- Human behaviour sensing
- Physiology sensing and measurement
- Sensing for human–machine interaction
- Sensing for human–robot interaction
- Machine-learning-based sensory data analysis
- Deep-learning-based sensory data analysis
- Neural networks for sensory interpreting
- Computational intelligence in sensing and analysis
Dr. Zhaojie Ju
Dr. Dalin Zhou
Dr. Jinguo Liu
Dr. Dingguo Zhang
Dr. YongAn Huang
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 papers will be 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 2200 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.
- Tactile sensing
- Wearable sensing
- Human behaviour sensing
- Physiology sensing