Motion sensors in a gaming chair let a machine learning model distinguish professional CS:GO players from amateurs with 0.86 ROC AUC in a small pilot study.
Intellichair: An approach for activity detection and prediction via posture analysis,
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Understanding Cyber Athletes Behaviour Through a Smart Chair: CS:GO and Monolith Team Scenario
Motion sensors in a gaming chair let a machine learning model distinguish professional CS:GO players from amateurs with 0.86 ROC AUC in a small pilot study.