Human Motion Perception for Intelligent Systems Awareness and Robotic Control
A special issue of Information (ISSN 2078-2489). This special issue belongs to the section "Information Applications".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 953
Special Issue Editors
Interests: robotic applications; human motion analysis; collaborative robots
Interests: human–robot interaction; robot vision; service robot perception and cognition; activity and behavior analysis and modeling; safe and socially aware robot navigation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
A wealth of information is being transmitted with every motion of the human body. From the subtle motions during simple tasks that ensure efficient adaptation and robustness to high-intensity actions during sports, the characteristics that can be extracted contain multi-faceted information. Detecting meaningful information through motion capture systems, wearables, and more recently, AI methods has enabled a seamless communication between humans and intelligent systems. This has been transformative for healthcare, sports science, social sciences, rehabilitation and industry applications. In this abundance of motion sensing, the most fundamental question that remains unanswered is what information is meaningful and how it can be extracted. Indeed, there is no shortage of creative approaches to perceive human motion, isolate gestures and encode them as inputs to be processed. However, between the staggering versatility of the human kinematic chain, the biological differences in each person, and the different information each task needs, there is no one-size-fit-all method to detect motions, or to convey them to an intelligent system. For example, involuntary small motions during post-stroke rehabilitation contain crucial data, while, in an industrial context, cobots focusing on intention prediction treat small motions as noise to be discarded.
In this Special Issue, the goal is to explore and disseminate novel and creative approaches to extract meaningful information from voluntary and involuntary motions of the human body, based on the applications, and incorporate them to advanced intelligent systems in an ethical way, as well as map future directions and identify knowledge gaps. The scope includes, but is not limited, to the following:
- Computer vision for joint detection
- Novel methods for modelling the human body
- Novel sensors/methods to perceive motion
- AI systems for semantic perception of motion
- Deep-learning methods for motion prediction and intention classification
- Intelligent control of prostheses
- Control of supernumerary robotic limbs
- AI-powered personalized rehabilitation/performance analysis
- Collaborative robots (cobots)
- Haptic interfaces
Dr. Dimitrios Menychtas
Dr. Dimitrios Giakoumis
Dr. Redwan Alqasemi
Guest Editors
Manuscript Submission Information
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Keywords
- human motion detection
- computer vision
- artificial intelligence
- supernumerary robotic limbs
- cobots
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