A DATASET AT A GLANCE...

In the succeeding years, emotion recognition has been believed to master various applications like, stress and mental health monitoring, Human-Computer Interaction (HCI), student monitoring for optimal learning outcomes, lie detection, entertainment and gaming, elderly care and Autism Spectrum Disorder (ASD) support. Hence, the researchers seeking a dataset for emotion recognition can avail the Electroencephalography (EEG)- based Emotion Recognition dataset with a license agreement issued from the BCMI laboratory (https://bcmi.sjtu.edu.cn/home/seed/index.html). There are about six datasets in the website, namely, SEED, SEED-IV, SEED-VIG, SEED-V, SEED-FRA and SEED-GER. The datasets with EEG signals and eye movements have been acquired by letting the person to see film clips and tracking them using a 62-channel ESI NeuroScan System and the SMI eye-tracking glasses, respectively. The emotions to be detected fall under two categories: (i) positive, negative or neutral and (ii) happy, sad, fear, disgust or neutral, provided that they differ for each of the datasets. Additionally, the researchers willing to use the dataset has citation requests for its usage, which also differs with the choice of the dataset being acquired. Image Courtesy: www.freepik.com