Decoding throat-language using flexibility sensors with machine learning

Subjects

Subjects :

History
Polymers and Plastics
Metals and Alloys
Business and International Management
Electrical and Electronic Engineering
Condensed Matter Physics
Instrumentation
Industrial and Manufacturing Engineering
Surfaces, Coatings and Films
Electronic, Optical and Magnetic Materials

Details

ISSN :

09244247

Volume :

352

Database :

OpenAIRE

Journal :

Sensors and Actuators A: Physical

Accession number :

edsair.doi.dedup.....63a65b442596084deaec99f1ed1b6757

Full Text :

https://doi.org/10.1016/j.sna.2023.114192