Cargando…
Zero-Shot Human Activity Recognition Using Non-Visual Sensors
Due to significant advances in sensor technology, studies towards activity recognition have gained interest and maturity in the last few years. Existing machine learning algorithms have demonstrated promising results by classifying activities whose instances have been already seen during training. A...
Autores principales: | Al Machot, Fadi, R. Elkobaisi, Mohammed, Kyamakya, Kyandoghere |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7038698/ https://www.ncbi.nlm.nih.gov/pubmed/32033072 http://dx.doi.org/10.3390/s20030825 |
Ejemplares similares
-
A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors
por: Al Machot, Fadi, et al.
Publicado: (2019) -
Document-Image Related Visual Sensors and Machine Learning Techniques
por: Kyamakya, Kyandoghere, et al.
Publicado: (2021) -
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
por: Kyamakya, Kyandoghere, et al.
Publicado: (2021) -
A Globally Generalized Emotion Recognition System Involving Different Physiological Signals
por: Ali, Mouhannad, et al.
Publicado: (2018) -
Intelligent Transportation Related Complex Systems and Sensors
por: Kyamakya, Kyandoghere, et al.
Publicado: (2021)