Cargando…
Using Support Vector Machine on EEG for Advertisement Impact Assessment
The advertising industry depends on an effective assessment of the impact of advertising as a key performance metric for their products. However, current assessment methods have relied on either indirect inference from observing changes in consumer behavior after the launch of an advertising campaig...
Autores principales: | Wei, Zhen, Wu, Chao, Wang, Xiaoyi, Supratak, Akara, Wang, Pan, Guo, Yike |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5858467/ https://www.ncbi.nlm.nih.gov/pubmed/29593481 http://dx.doi.org/10.3389/fnins.2018.00076 |
Ejemplares similares
-
Remote Monitoring in the Home Validates Clinical Gait Measures for Multiple Sclerosis
por: Supratak, Akara, et al.
Publicado: (2018) -
Sleep Quality Detection Based on EEG Signals Using Transfer Support Vector Machine Algorithm
por: Wen, Wu
Publicado: (2021) -
An Eigenvalues-Based Covariance Matrix Bootstrap Model Integrated With Support Vector Machines for Multichannel EEG Signals Analysis
por: Al-Hadeethi, Hanan, et al.
Publicado: (2022) -
Automatic depression diagnosis through hybrid EEG and near-infrared spectroscopy features using support vector machine
por: Yi, Li, et al.
Publicado: (2023) -
Multiple-Kernel Support Vector Machine for Predicting Internet Gaming Disorder Using Multimodal Fusion of PET, EEG, and Clinical Features
por: Jeong, Boram, et al.
Publicado: (2022)