Human Understanding AI Paper Challenge 2024 Dataset

Human Understanding AI Paper Challenge 2024 Dataset是由韩国电子与电信研究所创建的多模态传感器数据集，旨在通过分析日常生活中的行为数据来理解人类行为。数据集包含超过10,000小时的传感器数据，来源于22名参与者使用智能手机和智能手表的记录。数据集创建过程中，使用了多种传感器和技术来收集数据，包括加速度计、心率监测器和睡眠追踪器等。该数据集主要用于研究睡眠模式、情绪状态和压力水平，以开发能够识别这些指标的机器学习模型。

The Human Understanding AI Paper Challenge 2024 Dataset is a multimodal sensor dataset developed by the Electronics and Telecommunications Research Institute (ETRI), Republic of Korea. It is designed to gain insights into human behavior through the analysis of daily behavioral data. The dataset contains over 10,000 hours of sensor data collected from 22 participants using their smartphones and smartwatches. During the dataset's development, a range of sensors and technologies were employed for data collection, including accelerometers, heart rate monitors, sleep trackers, and other related devices. This dataset is primarily used for research on sleep patterns, emotional states, and stress levels, with the aim of developing machine learning models that can recognize these indicators.