infinite-dataset-hub/EmoHeartRec

EmoHeartRec数据集是一个由匿名用户数据组成的集合，旨在训练机器学习模型，通过对生理信号特别是心率数据的分析，以及结合自我报告的情感状态，来完成情感识别的任务。该数据集整合了多模态输入，如情感的文本描述、心率测量和其他可能的生物测量数据，以提升情感检测算法的鲁棒性和准确性。

The EmoHeartRec dataset is a collection of anonymized user data aimed at training machine learning models for the task of emotion recognition by analyzing physiological signals, specifically heart rate data, in conjunction with self-reported emotional states. The dataset integrates multimodal inputs, such as textual descriptions of emotions, heart rate measurements, and potentially other biometric data, to improve the robustness and accuracy of emotion detection algorithms.