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Classifier-Based Data Transmission Reduction in Wearable Sensor Network for Human Activity Monitoring
2020
Sensors
The recent development of wireless wearable sensor networks offers a spectrum of new applications in fields of healthcare, medicine, activity monitoring, sport, safety, human-machine interfacing, and beyond. Successful use of this technology depends on lifetime of the battery-powered sensor nodes. This paper presents a new method for extending the lifetime of the wearable sensor networks by avoiding unnecessary data transmissions. The introduced method is based on embedded classifiers that
doi:10.3390/s21010085
pmid:33375625
fatcat:ymrwnknzhfhfrfj6vtajoibbly