Gesture recognition for human-robot collaboration: A review
By Hongyi Liu, Lihui Wang. International Journal of Industrial Ergonomics, 2017
377 citations recorded by the source corpus.
Abstract Recently, the concept of human-robot collaboration has raised many research interests. Instead of robots replacing human workers in workplaces, human-robot collaboration allows human workers and robots working together in a shared manufacturing environment. Human-robot collaboration can release human workers from heavy tasks with assistive robots if effective communication channels between humans and robots are established. Although the communication channels between human workers and robots are still limited, gesture recognition has been effectively applied as the interface between humans and computers for long time. Covering some of the most important technologies and algorithms of gesture recognition, this paper is intended to provide an overview of the gesture recognition research and explore the possibility to apply gesture recognition in human-robot collaborative manufacturing. In this paper, an overall model of gesture recognition for human-robot collaboration is also proposed. There are four essential technical components in the model of gesture recognition for human-robot collaboration: sensor technologies, gesture identification, gesture tracking and gesture classification. Reviewed approaches are classified according to the four essential technical components. Statistical analysis is also presented after technical analysis. Towards the end of this paper, future research trends are outlined.
Subfields: Biomedical Engineering, Control and Systems Engineering, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/9e1aa29773a171d501472682ae5bc098c3ed7174
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In Biomedical Engineering
In Control and Systems Engineering
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- Jangwon Lee
- Sotiris Makris
- Harish Chaandar Ravichandar
- Ashwin P. Dani
- Pravendra Singh
- Pranav Singh Chib
In Human-Computer Interaction
Citations in the corpus
- A survey of robot learning from demonstrations for Human-Robot Collaboration (2017, background): “Gesture recognition is also widely used for human-robot collaboration since gestures can be one of the effective communication channels between humans and robots for working together [23].”
- Symbiotic human-robot collaborative assembly (2019, methodology): “The depth camera in Kinect uses an infrared projector for active depth sensing [132].”