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Brain-Body-Drone Interface
Brain-Body-Drone Interface
Brain- and body-computer interfaces not only allow motion-impaired individuals to use machines - such as drones - but can increase the bandwidth of information transmission between abled-body users and machines, thereby improving performance in challenging tasks such as drone racing. This project aims at collecting a multimodal dataset (i.e., eye movements, electrical brain signals, manual control inputs, drone state) from drone racing pilots. These data will be used for training machine learning classifiers to predict future drone states, trajectories, and control commands. Successful classifiers will be evaluated in real-time using a high-quality drone racing simulator and real-world drone racing. The student will learn about experiment design and multimodal data collection (including eye-tracking and electroencephalography) in human subjects, perform classifier selection, and real-time evaluation. Requirements: Excellent knowledge in Python, Pytorch, Matlab; Interest in human subjects research; Experience with CPP, brain-computer interfaces, eye-tracking is a plus but not strictly necessary.
Brain- and body-computer interfaces not only allow motion-impaired individuals to use machines - such as drones - but can increase the bandwidth of information transmission between abled-body users and machines, thereby improving performance in challenging tasks such as drone racing. This project aims at collecting a multimodal dataset (i.e., eye movements, electrical brain signals, manual control inputs, drone state) from drone racing pilots. These data will be used for training machine learning classifiers to predict future drone states, trajectories, and control commands. Successful classifiers will be evaluated in real-time using a high-quality drone racing simulator and real-world drone racing. The student will learn about experiment design and multimodal data collection (including eye-tracking and electroencephalography) in human subjects, perform classifier selection, and real-time evaluation. Requirements: Excellent knowledge in Python, Pytorch, Matlab; Interest in human subjects research; Experience with CPP, brain-computer interfaces, eye-tracking is a plus but not strictly necessary.
The goal of this project is to collect a multimodal dataset to develop brain- and body-machine interfaces for drone racing.
The goal of this project is to collect a multimodal dataset to develop brain- and body-machine interfaces for drone racing.