Authors Type of environment BCI System Type of potential searched Algorithm for detection Contribution/novelty Faller et al. 2017 [42 ] Avatar navigation with sound stimuli g.tec biosignal amplifier SSVEP Harmonic sum detection (HSD) Comparison of feedback provided by users using VR and AR Chun et al. 2016 [57 ] Object manipulation Emotiv EPOC SSVEP Common spatial P patterns (CSP) 8–30 Hz and support vector machines (SVMs) Using concentration as a way to interact with environment Kryger et al. 2017 [26 ] Flight simulation NeuroPort Neural Signal Processor SSVEP — Mapping of airplane movements (roll, pitch, yaw) to neural commands Fan et al. 2017 [27 ] Flight simulation Emotiv EPOC None -nearest neighbors (kNN)Measuring emotions with EEG signals along with a VE Chen et al. 2016 [58 ] Wheelchair control simulation — MRCP — Detection of patterns in MRCP in four different navigational directions. Shih et al. 2017 [59 ] Car driving simulation — — Double deep Q learning Training of intelligent agent using emotion detection from EEG signals Amores et al. 2016 [11 ] Superpowers’ simulation Muse headband — — Studying levels of concentration in EEG by stimulation with VEs based on mindfulness and hand movement Yan et al. 2016 [56 ] Virtual play and scenario Emotiv EEG Headset Amplitudes of , , and waves — Studying levels of concentration present in EEG signals by stimulation with VEs focused on aesthetic experiences Kosunen et al. 2017 [60 ] Meditation simulation with avatar RelaWorld system ERPs — Studying levels of concentration in EEG by stimulation with VEs based on mindfulness Yazmir & Reiner 2017 [39 ] Tennis game simulation Biosemi 64 channel EEG recording system ERPs ERS/ERD Blind source separation (BSS) 0–50 Hz Measurement of correlation between success and error peaks presented on ERPs Cecílio et al. 2016 [54 ] Trash separation game ActiCHamp amplifier µ -rhythmsIndependent component analysis (ICA), principal component analysis (PCA) and SVMs Utilization of a virtual avatar as a representation of desired movement Herweg et al. 2016 [61 ] Wheelchair simulation g.USBamp P300 Step-wise linear discriminate analysis (SWLDA) 0.1–30 Hz Combination of virtual navigation system along with P300 and tactile feedback Cyrino & Viana 2016 [43 ] Daily tasks simulation, filling a bowl with a cup, rotating levels Emotiv EPOC — — Virtual environments using daily tasks Liu et al. 2016 [62 ] Car driving simulation environment NeuroScan NuAmps Express system — Fuzzy Neural Network (FNN) Delta, theta, beta and alpha channels. Usage of FNN as a classifier for predicting driving fatigue de Tommaso et al. 2016 [63 ] Virtual home navigation Micromed System Plus P300b ANOVA 0.5–80 Hz Virtual environment could be personalized with different light/color options in order to look for different stimuli in simulation Saproo et al. 2016 [64 ] Flight simulator Biosemi B.V. ActiveTwo — ICA 1–55 Hz Generalization of similar control failures in other cases of tight man-machine coupling where gains and latencies in the control system must be inferred and compensated for by the human operators Chen et al. 2017 [65 ] Landscape navigation BioSemi ActiveTwo SSVEP Canonical correlation analysis 1–80 Hz Multiclass LDA Employment of SSVEP for navigation in virtual environments. Gordon et al. 2017 [55 ] Target recognition BioSemi ActiveTwo P300 Convolutional Neural Networks 0.1–50 Hz Real-time application for performing BCI-based Human-Centric Scene Analysis.