1,721,013 research outputs found
The role of shared-control in BCI-based telepresence
Get PDFThis paper discusses and evaluates the role of shared control approach in a BCI-based telepresence framework. Driving a mobile device by using human brain signals might improve the quality of life of people suffering from severely physical disabilities. By means of a bidirectional audio/video connection to a robot, the BCI user is able to interact actively with relatives and friends located in different rooms. However, the control of robots through an uncertain channel as a BCI may be complicated and exhaustive. Shared control can facilitate the operation of brain-controlled telepresence robots, as demonstrated by the experimental results reported here. In fact, it allows all subjects to complete a rather complex task, driving the robot in a natural environment along a path with several targets and obstacles, in shorter times and with less number of mental commands.CNBICN
A hybrid BCI for enhanced control of a telepresence robot
Get PDFAbstract—Motor-disabled end users have successfully driven a telepresence robot in a complex environment using a Brain-Computer Interface (BCI). However, to facilitate the interaction aspect that underpins the notion of telepresence, users must be able to voluntarily and reliably stop the robot at any moment, not just drive from point to point. In this work, we propose to exploit the user’s residual muscular activity to provide a fast and reliable control channel, which can start/stop the telepresence robot at any moment. Our preliminary results show that not only does this hybrid approach increase the accuracy, but it also helps to reduce the workload and was the preferred control paradigm of all the participants. I
Data for S2 Fig of PLOS Biology The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
No full text<p>BCI SMR feature discriminancy per training modality for pilots P1 and P2</p>
Data for S1 Fig of PLOS Biology The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
No full text<p>BCI feature discriminancy maps per training month for pilots P1 and P2 after artifact removal.</p>
Are we ready? Issues in transferring BCI technology from experts to users
Get PDFBrain-Computer Interfaces (BCIs) are no longer only used by healthy subjects under control conditions in laboratory environments, but by patients controlling applications at their homes, without the BCI experts around. But are the technology and the field mature enough for this? In this work, we want to summarize the experiences gained and the lessons we learned while transferring BCI technologies from the lab to the user's home. These lessons range from pure BCI issues (technical and handling), to common communication problems between different people involved, and lessons encountered while controlling the applications. The points raised are very general and will be faced similarly by other groups, if they move on to bring the BCI technology to the end-user.CNBICN
Data for Fig 4C of PLOS Biology The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users
No full text<p>The mat file consists of SMR feature discriminancy data for pilots P1 and P2</p>
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