Smart Home IoT Dataset - 1M+ Activity Records with 31 Sensors
Catalog Summary
"Comprehensive smart home dataset with 1,048,575 rows and 31 columns including timestamps, device states (TV, oven, lights, fridge) and activity labels for machine learning classification of daily activities."
Catalog Notes
Dataset Overview
This dataset contains over 1 million records from smart home IoT devices, prepared for machine learning applications in activity recognition and smart home automation.
Features
- 1,048,575 rows with 31 attributes
- Device states: TV, oven, office light, fridge, bedroom light, kitchen light, bathroom light
- Activity labels for supervised learning
- Timestamp for time-series analysis
- CSV format, ready for ML pipelines
Tested Algorithms
- Support Vector Machine (SVM)
- K-Nearest Neighbors (KNN)
- Naive Bayes
- Logistic Regression
- Random Forest
Research Applications
- Human activity recognition in smart homes
- IoT device behavior classification
- Smart home automation optimization
- Energy usage pattern analysis
View Data Structure
To explore column names, data types, and sample rows, visit the official dataset page on IEEE.
Preview on IEEECite This Dataset
Alemayehu B. Kassa (2025). Smart Home Dataset. [Dataset]. IEEE Dataport. https://doi.org/10.21227/eh0a-qe80
Source metadata: IEEE Dataport (2025) · DOI: 10.21227/eh0a-qe80
Indexed by IoTDataset.com on Mar 20, 2026
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