ICRS_LAB_HAR Dataset

The Human Activity Recognition (HAR) dataset comprises comprehensive data collected from various human activities including walking, running, sitting, standing, and jumping. The dataset is designed to facilitate research in the field of activity recognition using machine learning and deep learning techniques. Each activity is captured through multiple sensors providing detailed temporal and spatial data points, enabling robust analysis and model training.The dataset includes CSV files with annotated activity labels and sensor data, ensuring ease of use for researchers and practitioners. We provide the dataset to authors upon reasonable request to maintain data integrity and confidentiality. This dataset serves as a valuable resource for advancing the development of intelligent systems capable of recognizing and interpreting human activities in real-world scenarios.