Non-invasive assistive framework for sign language recognition using software-defined radio sensing and deep learning

Saman Nosheen, Ali Mustafa, Ihtesham Jadoon, Shumayla Yaqoob, Faheem Sohail, Farman Ullah

Open source

DOI: 10.1080/17483107.2026.2676031
Published: 2026-05-31
Container: Disability and Rehabilitation: Assistive Technology
Publisher: Informa UK Limited
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1080/17483107.2026.2676031,
  title = {Non-invasive assistive framework for sign language recognition using software-defined radio sensing and deep learning},
  author = {Saman Nosheen and Ali Mustafa and Ihtesham Jadoon and Shumayla Yaqoob and Faheem Sohail and Farman Ullah},
  year = {2026},
  journal = {Disability and Rehabilitation: Assistive Technology},
  doi = {10.1080/17483107.2026.2676031},
  url = {https://doi.org/10.1080/17483107.2026.2676031}
}

RIS

TY  - JOUR
TI  - Non-invasive assistive framework for sign language recognition using software-defined radio sensing and deep learning
AU  - Saman Nosheen
AU  - Ali Mustafa
AU  - Ihtesham Jadoon
AU  - Shumayla Yaqoob
AU  - Faheem Sohail
AU  - Farman Ullah
PY  - 2026
JO  - Disability and Rehabilitation: Assistive Technology
DO  - 10.1080/17483107.2026.2676031
UR  - https://doi.org/10.1080/17483107.2026.2676031
ER  -

APA

Nosheen, S., Mustafa, A., Jadoon, I., Yaqoob, S., Sohail, F., & Ullah, F. (2026). Non-invasive assistive framework for sign language recognition using software-defined radio sensing and deep learning. Disability and Rehabilitation: Assistive Technology. https://doi.org/10.1080/17483107.2026.2676031

Source records

crossref · retrieved 2026-09-26T16:19:45.765Z