Skills Evaluation

9 papers with code • 1 benchmarks • 3 datasets

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

Most implemented papers

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

smerdov/eSports_Sensors_Dataset 2 Nov 2020

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

hfawaz/miccai18 7 Jun 2018

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

smerdov/smart_chair_client 18 Aug 2019

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

hfawaz/ijcars19 20 Aug 2019

The method is validated on the JIGSAWS dataset for two surgical skills evaluation tasks: classification and regression.

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

smerdov/eSports_Sensors_Dataset 29 Nov 2020

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

smerdov/CS_GO_Sensors_Data_Analysis 7 Dec 2020

For this reason, we collected the physiological, environmental, and the game chair data from Pro and amateur players.

Piano Skills Assessment

ParitoshParmar/Piano-Skills-Assessment 13 Jan 2021

Can a computer determine a piano player's skill level?

Vote'n'Rank: Revision of Benchmarking with Social Choice Theory

pragmaticslab/vote_and_rank 11 Oct 2022

The development of state-of-the-art systems in different applied areas of machine learning (ML) is driven by benchmarks, which have shaped the paradigm of evaluating generalisation capabilities from multiple perspectives.