BRIGHTSURF

Body-to-machine interface for drones

07.16.18 | Proceedings of the National Academy of Sciences

A model demonstrates a body-machine interface for controlling a simulated drone. Credit: Image courtesy of Alain Herzog (École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland).

Researchers developed a gesture-based control interface for the efficient operation of drones by individuals lacking piloting experience; the control interface incorporates a body-to-machine interface that relies on upper-body motions to operate the drones and enables users to effectively control both simulated and real drones, according to the authors.

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Article #17-18648: "Data-driven body-machine interface for the accurate control of drones," by Jenifer Miehlbradt et al.

MEDIA CONTACT: Jenifer Miehlbradt, Ecole Polytechnique Fédérale de Lausanne, SWITZERLAND; tel: +41 78 637 39 77; e-mail: < jenifer.miehlbradt@epfl.ch >

Proceedings of the National Academy of Sciences

Additional Media

A model demonstrates a body-machine interface for controlling a real drone. Credit: Image courtesy of Alain Herzog (École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland).

Keywords

Discovery Research Research and Development

Article Information

Journal

Proceedings of the National Academy of Sciences

Contact Information

Jenifer Miehlbradt

jenifer.miehlbradt@epfl.ch

How to Cite This Article

APA:

Proceedings of the National Academy of Sciences. (2018, July 16). Body-to-machine interface for drones. Brightsurf News. https://www.brightsurf.com/news/12V2WE21/body-to-machine-interface-for-drones.html

MLA:

"Body-to-machine interface for drones." Brightsurf News, Jul. 16 2018, https://www.brightsurf.com/news/12V2WE21/body-to-machine-interface-for-drones.html.