Skills Evaluation
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Benchmarks
eSports Sensors Dataset
Most implemented
Collection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Vote'n'Rank: Revision of Benchmarking with Social Choice Theory
Piano Skills Assessment
AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
Papers
LLM-Based Data Generation and Clinical Skills Evaluation for Low-Resource French OSCEs
Objective Structured Clinical Examinations (OSCEs) are the standard method for assessing medical students' clinical and communication skills through structured patient interviews. In France, however, the organization of …
Skills EvaluationCan Generic LLMs Help Analyze Child-adult Interactions Involving Children with Autism in Clinical Observation?
Large Language Models (LLMs) have shown significant potential in understanding human communication and interaction. However, their performance in the domain of child-inclusive interactions, including in clinical settings…
Skills EvaluationVote'n'Rank: Revision of Benchmarking with Social Choice Theory
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…
BenchmarkingResult aggregationSkills EvaluationPiano Skills Assessment
Can a computer determine a piano player's skill level? Is it preferable to base this assessment on visual analysis of the player's performance or should we trust our ears over our eyes? Since current CNNs have difficulty…
Action Quality AssessmentAudio ClassificationMultimodal Deep LearningSkills Assessment+3AI-enabled Prediction of eSports Player Performance Using the Data from Heterogeneous Sensors
The emerging progress of eSports lacks the tools for ensuring high-quality analytics and training in Pro and amateur eSports teams. We report on an Artificial Intelligence (AI) enabled solution for predicting the eSports…
Feature EngineeringFeature ImportanceFPS GamesSensor Modeling+3Detecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Current research in eSports lacks the tools for proper game practising and performance analytics. The majority of prior work relied only on in-game data for advising the players on how to perform better. However, in-game…
BIG-bench Machine LearningInterpretable Machine LearningMultimodal Deep LearningPerson Re-Identification+6