Special Issue "Advanced Sensor Technology and Human-Computer Interaction"
Deadline for manuscript submissions: 25 November 2022 | Viewed by 2206
Interests: pattern recognition; human–computer interaction; affective computing; computer vision; multi-sensor fusion
Special Issues, Collections and Topics in MDPI journals
Special Issue in Applied Sciences: Socio-Cognitive and Affective Computing
Special Issue in Applied Sciences: Body Area Networks
Special Issue in Sensors: Sensors for Affective Computing and Sentiment Analysis
Special Issue in Applied Sciences: Computer Vision for Mobile Robotics
Special Issue in Sensors: Multi-Agent-Based Human-Computer Interaction
Special Issue in Sensors: Human-Machine Intelligence Hybridization: Challenges, Approaches, Applications
Special Issue in Sensors: Feature Papers in Smart and Intelligent Sensors Systems
Special Issue in Sensors: Deep Learning-Based Human Intention and Trajectory Prediction Systems Using Sensors
Topics: Applied Computer Vision and Pattern Recognition
Topics: Applied Computer Vision and Pattern Recognition: 2nd Volume
This Special Issue on “Advanced Sensor Technology and Human–Computer Interaction“ focuses on novel sensing and interfacing technologies that encourage new ways of interaction of humans with computers. Human–computer interaction (HCI) responds to the design, implementation, and evaluation of interactive technology.
Although HCI is still usually performed through not very sophisticated physical devices, research has gone in the direction of designing and using intelligent and adaptive sensors and actuators. Intelligent sensors for HCI incorporate at least some kind of intelligence in perception from users (e.g., speech, gesture, and gaze recognition, among others) and respond accordingly. On the other hand, adaptive HCI uses intelligence in the way it interacts with users by dealing with cognitive and affective levels of user activity (wearable sensors for affective computing, for instance). Moreover, this Special Issue also welcomes proposals based on the use of advanced intelligent sensors for HCI applications based on ambient intelligence and pervasive computing interaction, such as smart environments and/or virtual and augmented reality.Prof. Dr. Antonio Fernández-Caballero
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 2400 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.
- intelligent sensors for human–computer interaction (HCI)
- sensor networks for HCI
- body area networks for HCI
- wearables for HCI
- audio and visual recognition for HCI
- pervasive computing in HCI
- ambient intelligence in HCI
- sensors for affective computing
- brain–computer interfaces for HCI
- physiological computing for HCI