2016 4th International Winter Conference on Brain-Computer Interface (BCI)最新文献_第3页

BCI based hybrid interface for 3D object control in virtual reality 基于BCI的虚拟现实三维物体控制混合接口

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457461

Jinsung Chun, Byeonguk Bae, Sungho Jo

引用次数: 27

Adaptation in motor imagery brain-computer interfaces and its implication in rehabilitation 运动意象脑机接口的适应及其在康复中的意义

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457447

Cuntai Guan

{"title":"Adaptation in motor imagery brain-computer interfaces and its implication in rehabilitation","authors":"Cuntai Guan","doi":"10.1109/IWW-BCI.2016.7457447","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457447","url":null,"abstract":"In BCI based stroke rehabilitation systems, motor imagery is detected and fed back to patients via various modalities, being visual, robotic, haptic, and so on. Higher rate of detecting motor imagery is desired for potentially better rehabilitation outcome, as it affects training intensity, patients' engagement and contingent feedback effect. It is a long-standing challenge in BCI research as how to develop a robust BCI system, which can produce highly accurate detection results across multiple sessions despite large variations and interferences in real-world environments. Although some of the factors causing performance to vary can be minimized or mitigated, by for example using wireless portable brain signal recoding equipment, restraining body movements etc, many other factors, especially endogenous ones, are unavoidable. Therefore, methods which are able to keep tracking variations in brain signal and adapting models for motor imagery detection are highly useful. In this talk, we will discuss various adaption schemes and their implications in stroke rehabilitation using EEG based braincomputer interface.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127556369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

BCI classification based on signal plots and SIFT descriptors 基于信号图和SIFT描述符的BCI分类

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457454

Rodrigo Ramele, A. J. Villar, J. M. Santos

引用次数: 3

Investigating colour’s effect in stimulating brain oscillations for BCI systems 研究颜色在刺激脑机接口系统的大脑振荡中的作用

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457449

A. Szalowski, D. Picovici

引用次数: 3

Neurodrawing: neurofeedback for enhancing attention by drawing 神经绘画:通过绘画增强注意力的神经反馈

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457464

Jae-Hee Moon, Ki-Hee Park, Seong-Whan Lee

引用次数: 1

Space-time portraits of brain dynamics 大脑动力学的时空画像

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457458

Sang Wan Lee

引用次数: 0

Design of an asynchronous brain-computer interface for control of a virtual Avatar 用于控制虚拟化身的异步脑机接口设计

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457463

Hye-Soo An, Jeong-Woo Kim, Seong-Whan Lee

引用次数: 13

EEG-based decoding of declarative memory formation 基于脑电图的陈述性记忆形成解码

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457460

Taeho Kang, Yiyu Chen, Doyeon Kim, S. Fazli

引用次数: 4

Brain-controlled devices: the perception-action closed loop 脑控装置:感知-行动闭环

2016 4th International Winter Conference on Brain-Computer Interface (BCI) Pub Date : 2016-02-01 DOI: 10.1109/IWW-BCI.2016.7457451

J. Millán

{"title":"Brain-controlled devices: the perception-action closed loop","authors":"J. Millán","doi":"10.1109/IWW-BCI.2016.7457451","DOIUrl":"https://doi.org/10.1109/IWW-BCI.2016.7457451","url":null,"abstract":"Future neuroprosthetics will be tightly coupled with the user in such a way that the resulting system can replace and restore impaired upper limb functions because controlled by the same neural signals than their natural counterparts. However, robust and natural interaction of subjects with sophisticated prostheses over long periods of time remains a major challenge. To tackle this challenge we can get inspiration from natural motor control, where goal-directed behavior is dynamically modulated by perceptual feedback resulting from executed actions. Current brain-computer interfaces (BCI) partly emulate human motor control as they decode cortical correlates of movement parameters -from onset of a movement to directions to instantaneous velocity- in order to generate the sequence of movements for the neuroprosthesis. A closer look, though, shows that motor control results from the combined activity of the cerebral cortex, subcortical areas and spinal cord. This hierarchical organization supports the hypothesis that complex behaviours can be controlled using the low-dimensional output of a BCI in conjunction with intelligent devices in charge to perform low-level commands. A further component that will facilitate intuitive and natural control of motor neuroprosthetics is the incorporation of rich multimodal feedback and neural correlates of perceptual cognitive processes resulting from this feedback. As in natural motor control, these sources of information can dynamically modulate interaction.","PeriodicalId":208670,"journal":{"name":"2016 4th International Winter Conference on Brain-Computer Interface (BCI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131951482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5