Type-2 Neutrosophic Markov Chain Model for Subject-Independent Sign Language Recognition: A New Uncertainty–Aware Soft Sensor Paradigm
Uncertainty-aware soft sensors in sign language recognition (SLR) integrate methods to quantify and manage the uncertainty in their predictions. This is particularly crucial in SLR due to the variability in sign language gestures and differences in individual signing styles. Managing uncertainty all...
Saved in:
| Main Authors: | Muslem Al-Saidi, Áron Ballagi, Oday Ali Hassen, Saad M. Saad |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-12-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/23/7828 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimalisasi Prediksi Harga Ihsg Menggunakan Hybrid Weighted Fuzzy Time Series Hidden Markov Model Dengan Algoritma Evolusi Differensial
by: Alya Fitri Syalsabilla, et al.
Published: (2024-08-01) -
Hydrogen leakage localization technology in hydrogen refueling stations combining RL and hidden Markov models
by: Jun Wang, et al.
Published: (2025-07-01) -
Annotation of genomics data using bidirectional hidden Markov models unveils variations in Pol II transcription cycle
by: Benedikt Zacher, et al.
Published: (2014-12-01) -
Recognition algorithm of piano playing music notes based on improved hidden Markov model
by: Ziwei Wang
Published: (2025-09-01) -
SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
by: V. M. Deundyak, et al.
Published: (2014-12-01)