Cargando…
Motion Capture Sensor-Based Emotion Recognition Using a Bi-Modular Sequential Neural Network
Motion capture sensor-based gait emotion recognition is an emerging sub-domain of human emotion recognition. Its applications span a variety of fields including smart home design, border security, robotics, virtual reality, and gaming. In recent years, several deep learning-based approaches have bee...
Autores principales: | Bhatia, Yajurv, Bari, ASM Hossain, Hsu, Gee-Sern Jison, Gavrilova, Marina |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749847/ https://www.ncbi.nlm.nih.gov/pubmed/35009944 http://dx.doi.org/10.3390/s22010403 |
Ejemplares similares
-
Emotion recognition using Kinect motion capture data of human gaits
por: Li, Shun, et al.
Publicado: (2016) -
KinectGaitNet: Kinect-Based Gait Recognition Using Deep Convolutional Neural Network
por: Bari, A. S. M. Hossain, et al.
Publicado: (2022) -
Quaternion-Based Gesture Recognition Using Wireless Wearable Motion Capture Sensors
por: Alavi, Shamir, et al.
Publicado: (2016) -
Emotion and motion: Toward emotion recognition based on standing and walking
por: Riemer, Hila, et al.
Publicado: (2023) -
Human Lower Limb Motion Capture and Recognition Based on Smartphones
por: Duan, Lin-Tao, et al.
Publicado: (2022)