C2FHAR: Coarse-to-Fine Human Activity Recognition With Behavioral Context Modeling Using Smart Inertial Sensors

Smart sensing devices are furnished with an array of sensors, including locomotion sensors, which enable continuous and passive monitoring of human activities for the ambient assisted living. As a result, sensor-based human activity recognition has earned significant popularity in the past few years...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Muhammad Ehatisham-Ul-Haq, Muhammad Awais Azam, Yasar Amin, Usman Naeem
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2020-01-01
Sarja:	IEEE Access
Aiheet:	Activity recognition behavioral context context-aware machine learning smart sensing
Linkit:	https://ieeexplore.ieee.org/document/8950143/
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