# EEG Pattern Classification of Picking and Coordination Using Anonymous Random Walks
## 4 Conclusions and Future Work
Hence, our proposed algorithm found an automated solution such that, by using random walks, we were able to dramatically improve the classification of the task-related classes from 60% using bag of nodes to 90% while using the hierarchical classifier. Thus, the generality of this method is advantageous relative to the previous ones cited here since it is applicable to other EEG classification problems in which there is no predefined intuition regarding the relevant spectral features or brain channels involved. There are some limitations of the current study that warrant consideration. First, in this study, we used a homogeneous sample of participants who were all students at the same university. Since it has been previously shown [45] that the players' behavior in coordination games is sensitive to the effect of the cultural background, it is important to extend the study to include diverse populations. Second, the current study is limited to a single type of game, which is a coordination game based on semantic meaning. Therefore, future studies should consider other types of coordination games that include other cues, such as spatial location, colors and shapes. We have shown that as the length of the anonymous walk increases, the number of possible anonymous walks increases exponentially (Figure 4). Therefore, increasing the number of electrodes (e.g., 32 or 64 channels) would entail an exponential increase in the average length of the anonymous walk, which will consequently necessitate more data and computational time (see Equation (3)). Finally, in this study, we used an EEG system that included 16 electrodes; it is worth considering using a higher number of electrodes, which will potentially lead to a higher resolution of the coherence graph. The results of this study suggest a number of possible directions for future research regarding the prediction of the depth of reasoning by EEG indices. First, it will be interesting to examine the effect of both personal and contextual factors, such as social value orientation [46], loss aversion [47; 48] and culture [45], on the different EEG indices and coherence measures. Furthermore, other EEG indices such as power spectrum ratios, e.g., Theta-Beta [49; 50], Theta-Alpha [50; 51], might be used in conjunction with brain source localization methods (such as LORETA [52; 53]) to improve classification accuracy levels. Finally, an enhanced ability of depth of reasoning prediction is essential for improved coordination in human-agent interaction scenarios (e.g., [8; 46; 54; 55; 56]) and might also aid in developing autonomous robots with improved anticipation models of human action in their surroundings [57; 58]. **Author Contributions:** [PERSON], [PERSON] and [PERSON] carried out the stages of conceptualization, design of methodology, data curation, formal analysis, data modeling, model validation, writing, drafting and editing. [PERSON] was also responsible for visualization and implementation of supporting algorithms. [PERSON] and [PERSON] supervised the research activity. All authors discussed the results, read and approved the final manuscript and are accountable for all aspects of the work. All authors have read and agreed to the published version of the manuscript. **Funding:** This research received no external funding. **Institutional Review Board Statement:** The experimental protocols used in this work were evaluated and approved by the Ethics Committee of Ariel University (confirmation number: AU-SOC-SL-20190901). Permission to perform the electrophysiological recordings in the experiment was given from 1 September 2019 to 31 August 2020. **Informed Consent Statement:** Informed consent was obtained from all subjects involved in the study. Written informed consent has been obtained from the patients to publish this paper. **Data Availability Statement:** The data presented in this study are available on request from the corresponding author. The data are not publicly available due to the privacy of experiment participants.