Special Issue "Sensors for Affective Computing and Sentiment Analysis"
Deadline for manuscript submissions: closed (31 January 2020).
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 Applied Sciences: Computer Vision for Mobile Robotics
Special Issue in Sensors: Multi-Agent-Based Human-Computer Interaction
Special Issue in Sensors: Advanced Sensor Technology and Human-Computer Interaction
Topics: Applied Computer Vision and Pattern Recognition
Emotions are essential in human–human communication, cognition, learning, and rational decision-making processes. However, human–machine interfaces (HMIs) are still not able to understand human sentiments and react accordingly. With the aim of endowing HMIs with the emotional intelligence they lack, the affective computing science focuses on the development of artificial intelligence by means of the analysis of affects and emotions, such that systems and sensors could be able to recognize, interpret, process, and simulate human sentiments.
Nowadays, the evaluation of electrophysiological signals plays a key role in the advancement towards that purpose, as they are an objective representation of the emotional state of an individual. Hence, interest in physiological variables like electroencephalogram, electrocardiogram, or electrodermal activity, among many others, has notably grown in the field of affective states detection. Furthermore, emotions have also been widely identified by means of the assessment of speech characteristics and facial gestures of people under different sentimental conditions.
This Special Issue, Sensors for Affective Computing and Sentiment Analysis, is intended to be a venue for researchers that are interested in the development and/or use of physical sensors in those areas of expertise related to sentiment analysis, who want to initiate their studies or are currently working on this topic. Hence, manuscripts introducing new proposals based on physical sensors for the analysis of physiological measures, facial recognition, speech recognition, or natural language processing are welcome in this Special Issue of Sensors for Affective Computing and Sentiment Analysis.
Prof. Dr. Antonio Fernández-Caballero
Dr. Arturo Martínez-Rodrigo
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.
- Sensors for affective computing
- Sensors for sentiment analysis
- Sensors for ubiquitous and pervasive computing
- Sensors for ambient intelligence
- Sensors for ambient assisted living
- Sensors for physiological computing
- Internet of things sensors
- Sensors for natural language processing
- Brain–-computer interfaces
- Biofeedback and neurofeedback systems
- Wearable systems
- Applications and case studies