Cargando…
Toward More Robust Hand Gesture Recognition on EIT Data
Striving for more robust and natural control of multi-fingered hand prostheses, we are studying electrical impedance tomography (EIT) as a method to monitor residual muscle activations. Previous work has shown promising results for hand gesture recognition, but also lacks generalization across multi...
Autores principales: | Leins, David P., Gibas, Christian, Brück, Rainer, Haschke, Robert |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8385652/ https://www.ncbi.nlm.nih.gov/pubmed/34456704 http://dx.doi.org/10.3389/fnbot.2021.659311 |
Ejemplares similares
-
Emotions affect the recognition of hand gestures
por: Vicario, Carmelo M., et al.
Publicado: (2013) -
Robust hand gesture recognition for robotic hand control
por: Chaudhary, Ankit
Publicado: (2017) -
Data Augmentation of Surface Electromyography for Hand Gesture Recognition
por: Tsinganos, Panagiotis, et al.
Publicado: (2020) -
Gesture Recognition Using Surface Electromyography and Deep Learning for Prostheses Hand: State-of-the-Art, Challenges, and Future
por: Li, Wei, et al.
Publicado: (2021) -
Non-Uniform Sample Assignment in Training Set Improving Recognition of Hand Gestures Dominated with Similar Muscle Activities
por: Zhang, Yao, et al.
Publicado: (2018)