Data-driven body–machine interface for the accurate control of drones
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Data-driven body–machine interface for the accurate control of drones
Authors
Keywords
-
Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume -, Issue -, Pages 201718648
Publisher
Proceedings of the National Academy of Sciences
Online
2018-07-17
DOI
10.1073/pnas.1718648115
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Static Versus Dynamic Decoding Algorithms in a Non-Invasive Body–Machine Interface
- (2017) Ismael Seanez-Gonzalez et al. IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING
- Removal of proprioception by BCI raises a stronger body ownership illusion in control of a humanlike robot
- (2016) Maryam Alimardani et al. Scientific Reports
- Pantomimic Gestures for Human–Robot Interaction
- (2015) Michael Burke et al. IEEE Transactions on Robotics
- Da Vinci single site© surgical platform in clinical practice: a systematic review
- (2015) Luca Morelli et al. International Journal of Medical Robotics and Computer Assisted Surgery
- Science, technology and the future of small autonomous drones
- (2015) Dario Floreano et al. NATURE
- Remapping residual coordination for controlling assistive devices and recovering motor functions
- (2015) Camilla Pierella et al. NEUROPSYCHOLOGIA
- Data-Driven Motion Mappings Improve Transparency in Teleoperation
- (2015) Rebecca P. Khurshid et al. PRESENCE-TELEOPERATORS AND VIRTUAL ENVIRONMENTS
- Quadcopter flight control using a low-cost hybrid interface with EEG-based classification and eye tracking
- (2014) Byung Hyung Kim et al. COMPUTERS IN BIOLOGY AND MEDICINE
- A platform for aerial robotics research and demonstration: The Flying Machine Arena
- (2014) Sergei Lupashin et al. MECHATRONICS
- RELICA: A method for estimating the reliability of independent components
- (2014) Fiorenzo Artoni et al. NEUROIMAGE
- A Review of Haptic Feedback Teleoperation Systems for Micromanipulation and Microassembly
- (2013) A. Bolopion et al. IEEE Transactions on Automation Science and Engineering
- Quadcopter control in three-dimensional space using a noninvasive motor imagery-based brain–computer interface
- (2013) Karl LaFleur et al. Journal of Neural Engineering
- The Body-Machine Interface: A New Perspective on an Old Theme
- (2012) Maura Casadio et al. JOURNAL OF MOTOR BEHAVIOR
- Robots in the nuclear industry: a review of technologies and applications
- (2011) Robert Bogue Industrial Robot-The International Journal of Robotics Research and Application
- A survey of environment-, operator-, and task-adapted controllers for teleoperation systems
- (2010) Carolina Passenberg et al. MECHATRONICS
- Functional reorganization of upper-body movement after spinal cord injury
- (2010) Maura Casadio et al. EXPERIMENTAL BRAIN RESEARCH
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started