Cargando…
Towards Dynamic Multi-Modal Intent Sensing Using Probabilistic Sensor Networks
Intent sensing—the ability to sense what a user wants to happen—has many potential technological applications. Assistive medical devices, such as prosthetic limbs, could benefit from intent-based control systems, allowing for faster and more intuitive control. The accuracy of intent sensing could be...
Autores principales: | Russell, Joseph, Bergmann, Jeroen H. M., Nagaraja, Vikranth H. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003336/ https://www.ncbi.nlm.nih.gov/pubmed/35408218 http://dx.doi.org/10.3390/s22072603 |
Ejemplares similares
-
A modular, deep learning-based holistic intent sensing system tested with Parkinson’s disease patients and controls
por: Russell, Joseph, et al.
Publicado: (2023) -
Probabilistic Traffic Motion Labeling for Multi-Modal Vehicle Route Prediction
por: Flores Fernández, Alberto, et al.
Publicado: (2022) -
Representing dynamic biological networks with multi-scale probabilistic models
por: Groß, Alexander, et al.
Publicado: (2019) -
Target Coverage in Wireless Sensor Networks with Probabilistic Sensors
por: Shan, Anxing, et al.
Publicado: (2016) -
Detecting glaucoma from multi-modal data using probabilistic deep learning
por: Huang, Xiaoqin, et al.
Publicado: (2022)