7 papers with code • 1 benchmarks • 3 datasets
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
An important feature of the dataset is simultaneous data collection from five players, which facilitates the analysis of sensor data on a team level.
The need for automatic surgical skills assessment is increasing, especially because manual feedback from senior surgeons observing junior surgeons is prone to subjectivity and time consuming.
eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair
Today's competition between the professional eSports teams is so strong that in-depth analysis of players' performance literally crucial for creating a powerful team.
Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks
The method is validated on the JIGSAWS dataset for two surgical skills evaluation tasks: classification and regression.
For this reason, we collected the physiological, environmental, and the game chair data from Pro and amateur players.