9 papers with code • 1 benchmarks • 3 datasets
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Most implemented papers
What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
Can performance on the task of action quality assessment (AQA) be improved by exploiting a description of the action and its quality?
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.
Evaluating surgical skills from kinematic data using convolutional neural networks
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.
Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario
eSports is the rapidly developing multidisciplinary domain.
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.
Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
In this article, we propose the methods based on the sensor data analysis for predicting whether a player will win the future encounter.
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
For this reason, we collected the physiological, environmental, and the game chair data from Pro and amateur players.
Temporally Guided Articulated Hand Pose Tracking in Surgical Videos
Additionally, we collect the first dataset, Surgical Hands, that provides multi-instance articulated hand pose annotations for in-vivo videos.