Zhao et al., 2019 - Google Patents
A virtual smart home based on EEG controlZhao et al., 2019
- Document ID
- 4330842004153667608
- Author
- Zhao W
- Zhang X
- Qu J
- Xiao J
- Huang Y
- Publication year
- Publication venue
- 2019 IEEE 9th international conference on electronics information and emergency communication (ICEIEC)
External Links
Snippet
Virtual reality (VR) is a new technology which can create a virtual world based on computer system, providing users with a 3D immersive simulation environment. And Brain Computer Interface (BCI) technology makes it possible for users to communicate and interact with …
- 238000005516 engineering process 0 abstract description 6
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
- A61B5/0476—Electroencephalography
- A61B5/0484—Electroencephalography using evoked response
- A61B5/04842—Electroencephalography using evoked response visually
-
- 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
- A61B5/16—Devices for psychotechnics; Testing reaction times; Devices for evaluating the psychological state
- A61B5/165—Evaluating the state of mind, e.g. depression, anxiety
-
- 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
- A61B5/48—Other medical applications
- A61B5/486—Bio-feedback
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
- G06F3/011—Arrangements for interaction with the human body, e.g. for user immersion in virtual reality
- G06F3/015—Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection
-
- 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
-
- 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
- A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
- A61B5/7235—Details of waveform analysis
- A61B5/7264—Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Edlinger et al. | A hybrid brain-computer interface for smart home control | |
| Ferrez et al. | Simultaneous real-time detection of motor imagery and error-related potentials for improved BCI accuracy | |
| Aloise et al. | P300-based brain–computer interface for environmental control: an asynchronous approach | |
| CN100366215C (en) | Control method and system based on EEG homeostasis evoked response and sensory testing method and system | |
| 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 | |
| Rao et al. | Brain-computer interfacing [in the spotlight] | |
| Reuderink et al. | Affective Pacman: A frustrating game for brain-computer interface experiments | |
| Mueller-Putz et al. | Temporal coding of brain patterns for direct limb control in humans | |
| Bayliss et al. | Changing the P300 brain computer interface | |
| CN103699216A (en) | Email communication system and method based on motor imagery and visual attention mixed brain-computer interface | |
| Shukla et al. | A thresholding-free state detection approach for home appliance control using P300-based BCI | |
| Tello et al. | Development of a human machine interface for control of robotic wheelchair and smart environment | |
| Kawala-Janik et al. | Method for EEG signals pattern recognition in embedded systems | |
| Zhao et al. | A virtual smart home based on EEG control | |
| KR101788969B1 (en) | Target Selection Method of Augmented Reality System Using Brain-Computer Interface Technic Based on Steady State Visual Evoked Potential | |
| Li et al. | An EEG-based BCI system for 2D cursor control | |
| Vilimek et al. | BC (eye): Combining eye-gaze input with brain-computer interaction | |
| Edlinger et al. | A hybrid brain-computer interface for improving the usability of a smart home control | |
| Angulo-Sherman et al. | Effect of different feedback modalities in the performance of brain-computer interfaces | |
| Martens et al. | Towards robotic re-embodiment using a Brain-and-Body-Computer Interface | |
| Volosyak et al. | Toward BCI Wizard-best BCI approach for each user | |
| Brennan et al. | Accessing tele-services using a hybrid bci approach | |
| Lechner et al. | Feedback strategies for BCI based stroke rehabilitation: evaluation of different approaches | |
| Chumerin et al. | Processing and decoding steady-state visual evoked potentials for brain-computer interfaces | |
| Albilali et al. | Comparing brain-computer interaction and eye tracking as input modalities: An exploratory study |