Human Behavior Monitoring and Gesture Recognition: Applications for Human-Robot Interaction and Autonomous Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Wearables".
Deadline for manuscript submissions: closed (30 September 2023) | Viewed by 2173
Special Issue Editors
Interests: health technology; biomedical engineering; wearable body sensors; e-health and m-health; smart homes; biomedical sensor systems; non-invasive sensor systems; motion analysis; fall detection; fall prevention; health trend monitoring; ensuring safe and secure independent living; end-user compliance; user acceptance; quality of interaction; human–robot interaction; human–computer interaction; human–machine interaction
Special Issues, Collections and Topics in MDPI journals
Interests: human-robot interaction; social robotics; smart sensor systems; human-machine interaction; human-computer interaction
Interests: control systems; smart sensors; ubiquitous computing; manufacturing; wireless technology; portable devices; biomedicine; image segmentation and recognition; biometrics; technical cybernetics
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue (SI) solicits contributions to the design, control, and evaluation of behavior monitoring and recognition systems. In this SI, we welcome contributions that explore monitoring human behaviors and recognizing gestures in applications for human–robot interaction and autonomous systems. Prospective authors are cordially invited to submit their original contributions related to these aspects.
It is important to employ multiple sensory channels for natural human interactions with robots and autonomous systems. Human gestures could be integrated with other modalities of interaction for more natural interactions. A system that is able to extract task-relevant information from the human partners’ gestures and intentions could act accordingly which can be helpful for collaboration and cooperation tasks. A robot or an autonomous system that can assess the activity state of the person and take the action accordingly can lead to a more comfortable and safer HRI.
We especially welcome studies presenting trials, and studies adopting a participatory research design. We encourage submissions of research that advances the practical application of these technologies as well as work on experimental methods, models of human behavior, and design challenges. The submissions that present new datasets are also welcome. The purpose of this SI is to gather a collection of articles reflecting the latest developments in the design of human-behavior monitoring and action recognition.
Topics of interest include, but are not limited to:
- Human behavior monitoring systems
- Gesture recognition systems
- Action recognition systems
- Multisensor data fusion for human behavior monitoring
- Explainable and interpretable models
- Datasets for action/gesture recognition systems
- Recognition and prediction of user’s intent
- Performance metrics for action/gesture recognition systems
- Architectures for action/gesture recognition systems
- Solutions to privacy issues in behavior monitoring
- Multimodal data integration and visualization
- Behavioral coding and analysis for HRI
- Behavior interpretation
- Behavior tracking systems for smart environments
- Social, ethical, and legal implications of recognition systems
Dr. Annica Kristoffersson
Dr. Neziha Akalin
Prof. Dr. Ondrej Krejcar
Guest Editors
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Keywords
- intelligent sensor systems
- data acquisition
- physiological data
- datasets
- machine learning
- multi-sensor data fusion
- real-time data processing
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