ALS-HAR Activity Dataset

该数据集包含了16名参与者在三种不同环境条件下（控制室内、昏暗室内、户外）进行的10项活动数据，旨在探索环境光传感器在人类活动识别中的潜在应用。此外，数据集涵盖了多种光照条件下的场景，并使用同步视频记录进行数据标注，以确保准确性。所有数据均采用消费级设备收集，以展示其实际应用的可能性。该数据集的规模涉及16名参与者和10种活动，其研究任务集中在人类活动识别。

This dataset contains activity data from 16 participants performing 10 distinct activities across three environmental conditions: controlled indoor, dimly lit indoor, and outdoor. It aims to explore the potential applications of ambient light sensors in human activity recognition. Furthermore, the dataset covers scenarios under various lighting conditions, and uses synchronized video recordings for data annotation to ensure annotation accuracy. All data is collected using consumer-grade devices to demonstrate the feasibility of its real-world applications. The dataset involves 16 participants and 10 activity categories, with its core research task focused on human activity recognition.