Has anyone been able to get a good accuracy on the dataset ?
I wanted to ask if someone has been able to get a good accuracy on this dataset or not. I have tried CNN, NN, now i am trying LSTM , I really have not clue as to what should work on it ? I am not getting a good accuracy.
Hi,
last 2023 paper claim "96.18 percent on MUSE signals and 71.60 percent on EPOC signals" https://pubmed.ncbi.nlm.nih.gov/37001511/
but worth reviewing all the papers that have explored the dataset here: https://arxiv.org/abs/2212.14746
if it help also this other paper "accuracy of 98.27% was achieved for the MBD dataset of 14 channel device EMOTIV EPOC+ and 89.62% on the MBD dataset of 5-channel EMOTIV Insight." https://link.springer.com/article/10.1007/s13369-022-07313-3
Also this new paper reached 94.8% but with a hardware based approach https://pubs.rsc.org/en/content/articlelanding/2023/MH/D3MH00759F
Hi @dushyant007 check out the new Leaderboard https://huggingface.co/spaces/DavidVivancos/MindBigData-Leaderboard
Hi, I am having some difficulties reproducing the results written in the papers. Would anyone, or maybe the authors, kindly share their pre-trained models that achieve good accuracy? Thank you in advance.