Home Research Papers Datasets State of the Art Pricing

Discover, visualize, and connect AI research papers. Explore the latest trends and insights in artificial intelligence research.

Product

Home
Research Papers
About

Support

Contact
Terms of Service
Privacy Policy

computer-vision-5

Skills Evaluation

3260 papers • 126 benchmarks • 313 datasets

This task has no description! Would you like to contribute one?

(Image credit: Papersgraph)

Benchmarks

These leaderboards are used to track progress in skills-evaluation-5

Trend

Dataset

Best Model

Actions

eSports Sensors Dataset

Libraries

Use these libraries to find skills-evaluation-5 models and implementations

Datasets

AQA-7

eSports Sensors Dataset

Multimodal PISA

Subtasks

No subtasks available.

Most implemented papers

Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset

Anton Smerdov, Bo Zhou, P. Lukowicz, A. Somov•Sun Nov 01 2020

It is demonstrated that stress and concentration levels for professional players are less correlated, meaning more independent playstyle, and that the absence of team communication does not affect the professional players as much as amateur ones.

Content

Introduction Benchmarks Datasets Subtasks Libraries Papers

Paper Graph

Evaluating surgical skills from kinematic data using convolutional neural networks

Hassan Ismail Fawaz, G. Forestier, J. Weber, L. Idoumghar, Pierre-Alain Muller•Wed Jun 06 2018

A Convolutional Neural Network is designed to evaluate surgeon skills by extracting patterns in the surgeon motions performed in robotic surgery and this method achieved very competitive results with 100% accuracy on the suturing and needle passing tasks.

114 0

Paper Graph

Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario

Anton Smerdov, A. Somov, Anastasia Kiskun, Rostislav Shaniiazov, E. Burnaev•Sun Mar 31 2019

This work proposes a smart chair platform - an unobtrusive approach to the collection of data on the eSports athletes and data further processing with machine learning methods and demonstrates that the professional athletes can be identified by their behaviour on the chair while playing the game.

11 0

Paper Graph

eSports Pro-Players Behavior During the Game Events: Statistical Analysis of Data Obtained Using the Smart Chair

Anton Smerdov, A. Somov, E. Burnaev•Wed Jul 31 2019

The smart chair platform is proposed which is to collect data on the person's behavior on the chair using an integrated accelerometer, a gyroscope and a magnetometer to distinguish between the low-skilled and high-skilled players.

10 0

Paper Graph

Detecting Video Game Player Burnout With the Use of Sensor Data and Machine Learning

Anton Smerdov, Bo Zhou, P. Lukowicz, A. Somov, E. Burnaev•Sat Nov 28 2020

This article has trained machine learning models, including the transformer and gated recurrent unit, to predict whether the player wins the encounter taking place after some fixed time in the future, and investigated which physiological features affect the chance to win or lose the next in-game encounter.

25 0

Paper Graph

Accurate and interpretable evaluation of surgical skills from kinematic data using fully convolutional neural networks

Hassan Ismail Fawaz, G. Forestier, J. Weber, L. Idoumghar, Pierre-Alain Muller•Mon Jul 29 2019

A convolutional neural network to classify surgical skills by extracting latent patterns in the trainees’ motions performed during robotic surgery is designed and this type of interpretable machine learning model could integrate within “Operation Room 2.0” and support novice surgeons in improving their skills to eventually become experts.

109 0

Paper Graph

AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors

Evgeny Burnaev, Anton Smerdov, A. Somov•Sun Dec 06 2020

An Artificial Intelligence (AI) enabled solution for predicting the eSports player in-game performance using exclusively the data from sensors and has a number of promising applications for Pro eSports teams as well as a learning tool for amateur players.

2 0

Paper Graph

Piano Skills Assessment

Paritosh Parmar, B. Morris, Jaiden Reddy•Tue Jan 12 2021

A first-of-its-kind dataset for multimodal skill assessment focusing on assessing piano player’s skill level is collected, questions are answered, work in automated evaluation of piano playing skills is initiated and baselines for future work are provided.

38 0

Paper Graph

Adding a benchmark result helps the community track progress.

Skills Evaluation | State-of-the-Art