HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data.
Abduallah A. MohamedFernando LejarzaStephanie CahailChristian G. ClaudelEdison ThomazPublished in: PerCom Workshops (2022)
Keyphrases
- sensor data
- human activity recognition
- human activities
- wearable devices
- sensor networks
- activity recognition
- sensor measurements
- smart environments
- data streams
- sensor readings
- ubiquitous computing
- mobile devices
- visual surveillance
- mobile phone
- raw sensor data
- health monitoring
- unsupervised learning
- active learning
- mobile applications
- unlabeled data
- semi supervised learning
- labeled data
- smart home
- sensor data streams
- daily life
- low cost
- pairwise
- computer vision
- data sets