Enabling Effective Programming and Flexible Management of Efficient Body Sensor Network Applications
By Giancarlo Fortino, Roberta Giannantonio, Raffaele Gravina, P. Kuryloski, Roozbeh Jafari. IEEE Transactions on Human-Machine Systems, 2013
388 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/3a7198fcf57d6f33b367e81958a9be57753ca60c
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In Computer Networks and Communications
In Computer Vision and Pattern Recognition
Citations in the corpus
- Wearable Sensors for Human Activity Monitoring: A Review (2015, neutral): “processing applications have been reported [69].”
- Spatial anomaly detection in sensor networks using neighborhood information (2017, background): “For example, seismic data could be analyzed for patterns that denote seismic activity [12] , body sensor data can be analyzed to provide early health warnings [13] , or vibration data could be mined for events that potentially point to a failing machine [14] .”