Cargando…
Fusing Object Information and Inertial Data for Activity Recognition †
In the field of pervasive computing, wearable devices have been widely used for recognizing human activities. One important area in this research is the recognition of activities of daily living where especially inertial sensors and interaction sensors (like RFID tags with scanners) are popular choi...
Autores principales: | Diete, Alexander, Stuckenschmidt, Heiner |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806148/ https://www.ncbi.nlm.nih.gov/pubmed/31547630 http://dx.doi.org/10.3390/s19194119 |
Ejemplares similares
-
Exploring Semi-Supervised Methods for Labeling Support in Multimodal Datasets
por: Diete, Alexander, et al.
Publicado: (2018) -
Data Valuation Algorithm for Inertial Measurement Unit-Based Human Activity Recognition
por: Kim, Yeon-Wook, et al.
Publicado: (2022) -
APFiLoc: An Infrastructure-Free Indoor Localization Method Fusing Smartphone Inertial Sensors, Landmarks and Map Information
por: Shang, Jianga, et al.
Publicado: (2015) -
Inertial Data-Based AI Approaches for ADL and Fall Recognition
por: Martins, Luís M., et al.
Publicado: (2022) -
INIM: Inertial Images Construction with Applications to Activity Recognition
por: Daniel, Nati, et al.
Publicado: (2021)