[go: up one dir, main page]

Bian et al., 2015 - Google Patents

Research on multi-modal human-machine interface for aerospace robot

Bian et al., 2015

Document ID
4599022226816179956
Author
Bian Y
Zhao L
Li H
Yang G
Geng L
Deng X
Publication year
Publication venue
2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics

External Links

Snippet

The human-machine interface (HMI) constructs novel interactions between human and machines, which usually focuses on complex, dynamic control systems for some special surroundings such as the outer space. This paper introduces a human-machine interface …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0488—Electromyography
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0402—Electrocardiography, i.e. ECG
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476—Electroencephalography
    • A61B5/048—Detecting the frequency distribution of signals
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/0476—Electroencephalography
    • A61B5/0484—Electroencephalography using evoked response
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61N—ELECTROTHERAPY; MAGNETOTHERAPY; RADIATION THERAPY; ULTRASOUND THERAPY
    • A61N1/00—Electrotherapy; Circuits therefor
    • A61N1/18—Applying electric currents by contact electrodes
    • A61N1/32—Applying electric currents by contact electrodes alternating or intermittent currents
    • A61N1/36—Applying electric currents by contact electrodes alternating or intermittent currents for stimulation, e.g. heart pace-makers
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Detecting, measuring or recording for diagnostic purposes; Identification of persons
    • A61B5/04—Detecting, measuring or recording bioelectric signals of the body of parts thereof
    • A61B5/04001—Detecting, measuring or recording bioelectric signals of the body of parts thereof adapted to neuroelectric signals, e.g. nerve impulses

Similar Documents

Publication Publication Date Title
Jungnickel et al. MoBI—Mobile brain/body imaging
Duan et al. Design of a multimodal EEG-based hybrid BCI system with visual servo module
Trejo et al. Brain-computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials
Ferreira et al. Human-machine interfaces based on EMG and EEG applied to robotic systems
He et al. A wireless BCI and BMI system for wearable robots
Carrino et al. A self-paced BCI system to control an electric wheelchair: Evaluation of a commercial, low-cost EEG device
CN101947152B (en) Electroencephalogram-voice control system and working method of humanoid artificial limb
CN102866775A (en) System and method for controlling brain computer interface (BCI) based on multimode fusion
Shende et al. Literature review of brain computer interface (BCI) using Electroencephalogram signal
Zhang et al. A simple platform of brain-controlled mobile robot and its implementation by SSVEP
Belkacem et al. A cooperative EEG-based BCI control system for robot–drone interaction
Ajmeria et al. A critical survey of EEG-based BCI systems for applications in industrial internet of things
Korik et al. Decoding imagined 3D arm movement trajectories from EEG to control two virtual arms—a pilot study
Mohammed et al. Advanced human-robot collaborative assembly using electroencephalogram signals of human brains
Bian et al. Research on multi-modal human-machine interface for aerospace robot
Breitwieser et al. Somatosensory evoked potentials elicited by stimulating two fingers from one hand—usable for BCI?
Li et al. An adaptive P300 model for controlling a humanoid robot with mind
An et al. Design of an asynchronous brain-computer interface for control of a virtual avatar
Zhao et al. SSVEP-based experimental procedure for brain-robot interaction with humanoid robots
Tang et al. Humanoid robot operation by a brain-computer interface
Al-Qaraawi et al. Electroencephalography signals based face interaction for directional control system
Shu et al. Visual stimulus background effects on SSVEP-based brain-computer interface
Dongxue et al. Design of an online BCI system based on CCA detection method
Nallamothu et al. Human-Robot Interaction Using Open BCI Through Visual Simulation Using Python Programming
Zhu et al. Eeg controlled automated writing robotic arm based on steady state visually evoked potential