Predicting a Fall Based on Gait Anomaly Detection: A Comparative Study of Wrist-Worn Three-Axis and Mobile Phone-Based Accelerometer Sensors.
Primoz KocuvanAleksander HrasticAndrea KareskaMatjaz GamsPublished in: Sensors (2023)
Keyphrases
- mobile phone
- anomaly detection
- activity recognition
- wearable sensors
- intrusion detection
- anomalous behavior
- network traffic
- mobile devices
- detecting anomalies
- network intrusion detection
- intrusion detection system
- human activities
- mobile users
- network anomaly detection
- detecting anomalous
- smart phones
- sensor networks
- action recognition
- network security
- one class support vector machines
- mobile applications
- negative selection algorithm
- detect anomalies
- cumulative sum
- machine learning
- sensor data
- unsupervised learning
- pairwise
- smart home
- mobile phone users
- data mining
- normal behavior
- smart card
- context aware
- learning algorithm