Cargando…
Dealing with the Effects of Sensor Displacement in Wearable Activity Recognition
Most wearable activity recognition systems assume a predefined sensor deployment that remains unchanged during runtime. However, this assumption does not reflect real-life conditions. During the normal use of such systems, users may place the sensors in a position different from the predefined senso...
Autores principales: | Banos, Oresti, Toth, Mate Attila, Damas, Miguel, Pomares, Hector, Rojas, Ignacio |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118358/ https://www.ncbi.nlm.nih.gov/pubmed/24915181 http://dx.doi.org/10.3390/s140609995 |
Ejemplares similares
-
On the Use of Sensor Fusion to Reduce the Impact of Rotational and Additive Noise in Human Activity Recognition
por: Banos, Oresti, et al.
Publicado: (2012) -
PhysioDroid: Combining Wearable Health Sensors and Mobile Devices for a Ubiquitous, Continuous, and Personal Monitoring
por: Banos, Oresti, et al.
Publicado: (2014) -
Window Size Impact in Human Activity Recognition
por: Banos, Oresti, et al.
Publicado: (2014) -
Design, implementation and validation of a novel open framework for agile development of mobile health applications
por: Banos, Oresti, et al.
Publicado: (2015) -
Smartphone-Based Platform for Affect Monitoring through Flexibly Managed Experience Sampling Methods
por: Bailon, Carlos, et al.
Publicado: (2019)