Published 2024 | Version v3
Dataset Restricted

Human Activity and Environmental Metrics for Anomaly Detection

  • 1. ResearchBrains
  • 2. SS Tech
  • 3. Admire solution

Description

This dataset contains 4002 time-stamped records of synchronized human physiological and environmental measurements collected over an extended monitoring period in a high-occupancy commercial indoor environment. Data were acquired at consistent intervals using wearable and environmental sensors, capturing dynamic activity patterns suitable for anomaly detection research. The dataset includes humidity (percentage), temperature (degrees), step count, motion intensity, heart rate (beats per minute), and a binary Attack label (1: anomalous, 0: normal).

Participants were informed about the data collection process through on-site notice and during wearable device distribution, and informed verbal consent was obtained prior to participation. No personally identifiable information (PII) was collected, and the dataset has been fully anonymized to prevent direct or indirect identification of individuals.

Notes (English)

This dataset is intended for research and educational purposes, particularly for machine learning applications such as anomaly detection, activity recognition, and health-related analysis.

Users are responsible for ensuring compliance with applicable data protection regulations and must not attempt re-identification of individuals.

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