Plant Bioelectric Signals for Emotion Classification

该数据集包含了在实验中记录的植物生物电信号，用以对人类情感状态进行分类。研究表明，植物的反应与人类情感之间存在显著的相关性。此外，该数据集为情感分析提供了可复现的研究支持，包括完整的Python处理流程，涵盖了频谱图生成和模型训练。该数据集规模包含898个样本，其任务是利用植物生物电信号进行情感分类。This dataset contains plant bioelectrical signals recorded during experiments, designed for human emotional state classification. Research has demonstrated a significant correlation between plant responses and human affective states. Additionally, this dataset provides reproducible research support for sentiment analysis, including a complete Python processing pipeline that covers spectrogram generation and model training. The dataset comprises 898 samples, with the core task being emotion classification using plant bioelectrical signals.