eSports Sensors Dataset

该数据集包含了在22场《英雄联盟》比赛中从专业和业余玩家那里收集的心理生理数据，包括生理活动、赛后调查以及游戏内数据。数据集以结构化格式呈现，每个比赛都有一个目录，每位玩家的传感器数据以及赛后的调查问卷。由于能够同时从五名玩家那里收集数据，该数据集允许进行团队级别的分析。数据规模覆盖了22场比赛，记录时间超过40小时，涉及多名玩家。研究任务包括技能预测、玩家重新识别以及团队动态分析。

This dataset comprises psychophysiological data collected from professional and amateur players across 22 *League of Legends* matches, including physiological activity metrics, post-match surveys, and in-game data. It is structured with a dedicated directory for each match, which contains the sensor data and post-match questionnaire responses of every participating player. Since data can be collected simultaneously from all five players on a team, this dataset enables team-level analytical studies. Covering 22 matches with a total recording time exceeding 40 hours, the dataset involves multiple players. Supported research tasks include skill prediction, player re-identification, and team dynamics analysis.