Multimodal speech and gesture control of AGVs, including EEG-based measurements of cognitive workload

Overmeyer, Ludger; Podszus, Florian; Dohrmann, Lars

doi:10.1016/j.cirp.2016.04.030

Cited by 20 publications

(7 citation statements)

References 14 publications

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“…This enables to quantify bending in all three dimensions. The developed technology represents a promising approach for applications in medical diagnostics to detect motion of patients [29]- [31], in robotics and augmented reality scenarios including gaming gloves or motion-recording wearables for use in sports and motion capture [32], [33], to name a few.…”

Section: Discussionmentioning

confidence: 99%

Optical Bend Sensor Based on Eccentrically Micro-Structured Multimode Polymer Optical Fibers

et al. 2021

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We report on a novel bend sensor with high flexibility and elasticity based on Bragg grating structures in polymer optical fibers to detect bending for the measurement of movement. The concept is very simple and relies on the inscription of eccentrical Bragg gratings into multimode graded-index polymer optical fibers via contact exposure with a krypton fluoride excimer laser in the ultraviolet region and an optimized phase mask. Depending on the fiber deformation, the lattice constant of the inscribed Bragg grating is strained or compressed due to its position relative to the fiber core. This in turn results in a specific shift of the Bragg wavelength of up to 1.3 nm to the red or blue wavelength region, respectively, which is sufficiently large to be reliably detected. Therefore, as proof of principle, deformation along one axis can be observed with a single Bragg grating with a maximum sensitivity of up to 65 pm/m −1 . Moreover, multiple Bragg gratings inscribed into the same polymer optical fiber at different positions around the fiber axis allow to determine the shape deformation of the fiber relative to a reference frame with similar accuracy. Consequently, this technology could form the basis for new applications in the areas of medical diagnostics, robotics or augmented reality, which are lacking affordable sensor systems to date.

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Section: Discussionmentioning

confidence: 99%

Optical Bend Sensor Based on Eccentrically Micro-Structured Multimode Polymer Optical Fibers

et al. 2021

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“…Researcher also discussed application of EEG-based robotics in some other areas. Based on EEG, Overmeyer and Podszus provided a new cognitive approach combining speech and gesture control for multimodal HMI to be used in automated guided vehicles (AGVs) in logistics [ 28 ].…”

Section: Recent Development Of Noninvasive Methods For Robotic Contro...mentioning

confidence: 99%

Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future

Liu

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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The purpose of this study is to explore the noninvasive human-computer interaction methods that have been widely used in various fields, especially in the field of robot control. To have a deep understanding of the development of the methods, this paper employs “Mapping Knowledge Domains” (MKDs) to find research hotspots in the area to show the future potential development. Through the literature review, this paper found that there was a paradigm shift in the research of noninvasive BCI technologies for robotic control, which has occurred from early 2010 since the rapid development of machine learning, deep learning, and sensory technologies. This study further provides a trend analysis that the combination of data-driven methods with optimized algorithms and human-sensory-driven methods will be the key areas for the future noninvasive method development in robotic control. Based on the above findings, the paper provides a potential developing way of noninvasive HCI methods for related areas including health care, robotic system, and media.

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“…Gesturebased interaction has not found widespread application in industrial settings yet. A research application from the domain of human-robot interaction where gestures are used to select a package that a lifting device should pick up is presented in [29]. As regards output, visual interaction mainly relies on monitors and lights.…”

Section: A Interaction Modalitiesmentioning

confidence: 99%

A General Methodology for Adapting Industrial HMIs to Human Operators

Villani

Loch

Vogel‐Heuser

et al. 2021

IEEE Trans. Automat. Sci. Eng.

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Multimodal speech and gesture control of AGVs, including EEG-based measurements of cognitive workload

Cited by 20 publications

References 14 publications

Optical Bend Sensor Based on Eccentrically Micro-Structured Multimode Polymer Optical Fibers

Optical Bend Sensor Based on Eccentrically Micro-Structured Multimode Polymer Optical Fibers

Noninvasive Human-Computer Interface Methods and Applications for Robotic Control: Past, Current, and Future

A General Methodology for Adapting Industrial HMIs to Human Operators

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