Simulation of a BCI System Based on the Control of a Robotic Hand by Using Eye-blinks Strength

Rușanu, Oana Andreea; Cristea, Luciana; Luculescu, Marius Cristian

doi:10.1109/ehb47216.2019.8969941

Cited by 2 publications

(4 citation statements)

References 7 publications

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“…In this review, it was found that the interfaces in the included studies had between 1 and 64 electrodes for EEG signal acquisition, with 8, 16, and 32 being the most commonly used quantities. The proposal carried out by [ 35 ] has highlighted that the system employs a device with only one channel. The Mindwave II device (NeuroSky, San Jose, CA, USA) whose sampling rate is 512 Hz, has a 12-bit resolution.…”

Section: Resultsmentioning

confidence: 99%

“…The 3D robotic hand was proposed by [ 35 ]. As previously mentioned, authors developed a BCI system with an experimental model of a 3D robotic hand.…”

Section: Resultsmentioning

confidence: 99%

“…The studies that feature semi-immersive reality were: the ball-striking based proposal designed in Unity3D [ 33 ], the 3D robotic hand by [ 35 ] employing algorithms in Labview, and the system featuring upper limb animations in 3D models, developed in Unity3D and 3ds Max, for which it was noted that motor imagery accuracy increased using visual feedback through gaming and that the average correct rate for 5 participants increased by 18.7%.…”

Section: Resultsmentioning

confidence: 99%

“…The same could be said about the case of the proposal by [ 30 ], which showed effectiveness when using an interactive game with virtual reality; the performance was higher compared to studies using traditional rehabilitation. Furthermore, in [ 35 ], it was noted that the accuracy of motor imagery increased by using visual feedback through gaming and that the average rate of correctness increased by 18.7%.…”

Section: Discussionmentioning

confidence: 99%

See 3 more Smart Citations

Brain-Computer Interfaces Systems for Upper and Lower Limb Rehabilitation: A Systematic Review

Camargo-Vargas

Callejas-Cuervo

Mazzoleni

2021

Sensors

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In recent years, various studies have demonstrated the potential of electroencephalographic (EEG) signals for the development of brain-computer interfaces (BCIs) in the rehabilitation of human limbs. This article is a systematic review of the state of the art and opportunities in the development of BCIs for the rehabilitation of upper and lower limbs of the human body. The systematic review was conducted in databases considering using EEG signals, interface proposals to rehabilitate upper/lower limbs using motor intention or movement assistance and utilizing virtual environments in feedback. Studies that did not specify which processing system was used were excluded. Analyses of the design processing or reviews were excluded as well. It was identified that 11 corresponded to applications to rehabilitate upper limbs, six to lower limbs, and one to both. Likewise, six combined visual/auditory feedback, two haptic/visual, and two visual/auditory/haptic. In addition, four had fully immersive virtual reality (VR), three semi-immersive VR, and 11 non-immersive VR. In summary, the studies have demonstrated that using EEG signals, and user feedback offer benefits including cost, effectiveness, better training, user motivation and there is a need to continue developing interfaces that are accessible to users, and that integrate feedback techniques.

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Section: Resultsmentioning

confidence: 99%

“…The 3D robotic hand was proposed by [ 35 ]. As previously mentioned, authors developed a BCI system with an experimental model of a 3D robotic hand.…”

Section: Resultsmentioning

confidence: 99%