Cargando…
Static Hand Gesture Recognition Using Capacitive Sensing and Machine Learning
Automated hand gesture recognition is a key enabler of Human-to-Machine Interfaces (HMIs) and smart living. This paper reports the development and testing of a static hand gesture recognition system using capacitive sensing. Our system consists of a [Formula: see text] array of capacitive sensors...
Autores principales: | Noble, Frazer, Xu, Muqing, Alam, Fakhrul |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099234/ https://www.ncbi.nlm.nih.gov/pubmed/37050481 http://dx.doi.org/10.3390/s23073419 |
Ejemplares similares
-
Identity and Gender Recognition Using a Capacitive Sensing Floor and Neural Networks
por: Konings, Daniel, et al.
Publicado: (2022) -
Static hand gesture recognition based on hierarchical decision and classification of finger features
por: Li, Yunfeng, et al.
Publicado: (2022) -
New combined DT-CWT and HOG descriptor for static and dynamic hand gesture recognition
por: Agab, Salah Eddine, et al.
Publicado: (2023) -
Wearable Drone Controller: Machine Learning-Based Hand Gesture Recognition and Vibrotactile Feedback
por: Lee, Ji-Won, et al.
Publicado: (2023) -
Hand Gesture Recognition in Automotive Human–Machine Interaction Using Depth Cameras
por: Zengeler, Nico, et al.
Publicado: (2018)