2019
DOI: 10.1109/tnsre.2019.2897323
|View full text |Cite
|
Sign up to set email alerts
|

A Brain–Robot Interaction System by Fusing Human and Machine Intelligence

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
4
1

Citation Types

0
15
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
8
1

Relationship

0
9

Authors

Journals

citations
Cited by 36 publications
(15 citation statements)
references
References 32 publications
0
15
0
Order By: Relevance
“…For example, the bumper sensor gives feedback on collision detection and sonars act on distance monitoring. Authors in [60] reported on enhancing brain-robot interaction by fusing machine intelligence and human. The fusion has alleviated the brain load and increase the efficiency of robot execution.…”
Section: Navigation and Obstacle Avoidancementioning
confidence: 99%
“…For example, the bumper sensor gives feedback on collision detection and sonars act on distance monitoring. Authors in [60] reported on enhancing brain-robot interaction by fusing machine intelligence and human. The fusion has alleviated the brain load and increase the efficiency of robot execution.…”
Section: Navigation and Obstacle Avoidancementioning
confidence: 99%
“…This paper employs EEG to capture the subject's motor-intention. Existing works on mind-controlled external devices utilize a few selected brain signals, including Steady-State Visually Evoked Potential (SSVEP), P300, Motor Imagination (MI), Errorrelated Potential (ErrP) for position control of artificial human appendages/external manipulators [4][5][6][7][8]. For example, P300 has successfully been used for goal/destination selection of a mobile robot/wheelchair [9][10].…”
Section: Introductionmentioning
confidence: 99%
“…In recent years, brain-computer interfaces (BCI) based on steady-state visual evoked potentials (SSVEP) has attracted a lot of attention due to its high information transfer rate (ITR) and little user training [1]- [3]. It could be used in smart home appliances [4], [5], disability assistance [6]- [9], human-computer interaction [10]- [12], games and entertainment [13], [14] and other fields. SSVEP is evoked by repetitive stimulus with a constant frequency on the central retina, SSVEP-BCI could detect which stimuli the user is…”
Section: Introductionmentioning
confidence: 99%