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Player affective-state telemetry derived from device interaction

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Player affective-state telemetry derived from device interaction: grip, movement, rhythm and touch dynamics translated through native Unity and Unreal SDKs into cognitive and emotional indices, joined in time to in-game digital events — producing labelled state series (flow, frustration, dysregulation, rage-quit precursors), real-world physical-activity context during play, engagement and frustration heatmaps, and deep-learning-derived predictive cohorts that tie input physics to session outcomes

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