Cargando…
A Framework for Learning Analytics Using Commodity Wearable Devices
We advocate for and introduce LEARNSense, a framework for learning analytics using commodity wearable devices to capture learner’s physical actions and accordingly infer learner context (e.g., student activities and engagement status in class). Our work is motivated by the observations that: (a) the...
Autores principales: | Lu, Yu, Zhang, Sen, Zhang, Zhiqiang, Xiao, Wendong, Yu, Shengquan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5492713/ https://www.ncbi.nlm.nih.gov/pubmed/28613236 http://dx.doi.org/10.3390/s17061382 |
Ejemplares similares
-
Mathematical Framework for Wearable Devices in the Internet of Things Using Deep Learning
por: Mirza, Olfat M., et al.
Publicado: (2022) -
Commodity security frameworks for health planning
por: Tetteh, Ebenezer Kwabena
Publicado: (2021) -
Multi-analyte sensing strategies towards wearable and intelligent devices
por: Huang, Yu, et al.
Publicado: (2022) -
Learn how to trade commodities
por: Kleinman, George, et al.
Publicado: (2013) -
Data Analytics of a Wearable Device for Heat Stroke Detection
por: Lin, Shih-Sung, et al.
Publicado: (2018)