Generating Synthetic Health Sensor Data for Privacy-Preserving Wearable Stress Detection.
Lucas LangeNils WenzlitschkeErhard RahmPublished in: CoRR (2024)
Keyphrases
- privacy preserving
- sensor data
- sensor networks
- health monitoring
- wearable sensors
- privacy preserving data mining
- low cost sensors
- sensor measurements
- vertically partitioned data
- privacy preservation
- continuous monitoring
- data streams
- sensitive information
- smart environments
- low cost
- human activities
- sensor readings
- data privacy
- sensitive data
- privacy concerns
- private information
- privacy protection
- privacy preserving association rule mining
- ambient intelligence
- preserving privacy
- scalar product
- wireless sensor networks
- privacy sensitive
- raw sensor data
- differential privacy
- activity recognition
- horizontally partitioned data
- private data
- naive bayesian classification
- partitioned data
- multi party
- data perturbation
- homomorphic encryption
- data sets
- horizontally partitioned
- information systems
- privacy requirements
- mobile devices
- data publishing
- medical images
- data collection
- privacy issues
- database
- ubiquitous computing
- location information