Qammer H Abbasi
Biographic Data
| ID | 10053971 |
|---|---|
| NAME | Qammer H Abbasi |
| GIVEN NAMES | Qammer H |
| FAMILY NAME | Abbasi |
| SIGNATURE | ABBASI Q H |
| AFFILIATIONS | University of Glasgow |
| ORCID | 0000-0002-7097-9969 |
| VERIFIED | Yes |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Recognizing British Sign Language Using Deep Learning
Sign language is utilized by deaf-mute to communicate through hand movements, body postures, and facial emotions. The motions in sign language comprise a range of distinct hand and finger articulations that are occasionally synchronized with the head, face, and body. Automatic sign language recognition (SLR) is a highly challenging area and still remains in its infancy compared with speech recognition after almost three decades of research. Curre…
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Recognizing British Sign Language Using Deep Learning
Sign language is utilized by deaf-mute to communicate through hand movements, body postures, and facial emotions. The motions in sign language comprise a range of distinct hand and finger articulations that are occasionally synchronized with the head, face, and body. Automatic sign language recognition (SLR) is a highly challenging area and still remains in its infancy compared with speech recognition after almost three decades of research. Curre…
Artificial Intelligence (1 work) · Computer Science (1 work) · Deep learning (1 work) · Facial recognition system (1 work) · Feature extraction (1 work) · Gait Recognition and Analysis (1 work) · Hand Gesture Recognition Systems (1 work) · Hearing Impairment and Communication (1 work) · Linguistics (1 work) · Natural language processing (1 work)