A green isolated word sign language recognition system based on geodesic metric space

Sana Fakhfakh; Yousra Ben Jemaa

doi:10.1109/CW58918.2023.00049

A green isolated word sign language recognition system based on geodesic metric space

Sana Fakhfakh
, Yousra Ben Jemaa

Université de Tunis El Manar

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

This paper presents a new isolated word sign language (IWSL) recognition strategy to attempt an ecological and friendly solution based on the deaf brain pipeline. Two major steps are proposed in this research field.The first one is based on hands shape-motion extraction and the second is based on its analysis without introducing deep learning frameworks (DLF) to carry out less data, less time execution and less carbon footprint consumption.So, we focus on developing an energy-saving system offering a green IWSL recognition system based on geodesic distance as an elastic measure while preserving the same DLF performance. Results indicate that the new IWSL recognition system is a promising solution as it trades off energy and accuracy compared with existing systems.

Original language	English
Title of host publication	Proceedings - 2023 International Conference on Cyberworlds, CW 2023
Editors	Najoua Essoukri Ben Amara, Alexei Sourin, Olga Sourina, Christophe Rosenberger
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	274-281
Number of pages	8
ISBN (Electronic)	9798350315653
DOIs	https://doi.org/10.1109/CW58918.2023.00049
State	Published - 2023
Externally published	Yes
Event	22nd International Conference on Cyberworlds, CW 2023 - Sousse, Tunisia Duration: 3 Oct 2023 → 5 Oct 2023

Publication series

Name	Proceedings - 2023 International Conference on Cyberworlds, CW 2023

Conference

Conference	22nd International Conference on Cyberworlds, CW 2023
Country/Territory	Tunisia
City	Sousse
Period	3/10/23 → 5/10/23

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 12 Responsible Consumption and Production
SDG 13 Climate Action

Keywords

complexity redaction
geodesic distance
Isolated word sign language recognition
performance analysis

Access to Document

10.1109/CW58918.2023.00049

Cite this

Fakhfakh, S., & Jemaa, Y. B. (2023). A green isolated word sign language recognition system based on geodesic metric space. In N. E. B. Amara, A. Sourin, O. Sourina, & C. Rosenberger (Eds.), Proceedings - 2023 International Conference on Cyberworlds, CW 2023 (pp. 274-281). (Proceedings - 2023 International Conference on Cyberworlds, CW 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CW58918.2023.00049

Fakhfakh, Sana ; Jemaa, Yousra Ben. / A green isolated word sign language recognition system based on geodesic metric space. Proceedings - 2023 International Conference on Cyberworlds, CW 2023. editor / Najoua Essoukri Ben Amara ; Alexei Sourin ; Olga Sourina ; Christophe Rosenberger. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 274-281 (Proceedings - 2023 International Conference on Cyberworlds, CW 2023).

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title = "A green isolated word sign language recognition system based on geodesic metric space",

abstract = "This paper presents a new isolated word sign language (IWSL) recognition strategy to attempt an ecological and friendly solution based on the deaf brain pipeline. Two major steps are proposed in this research field.The first one is based on hands shape-motion extraction and the second is based on its analysis without introducing deep learning frameworks (DLF) to carry out less data, less time execution and less carbon footprint consumption.So, we focus on developing an energy-saving system offering a green IWSL recognition system based on geodesic distance as an elastic measure while preserving the same DLF performance. Results indicate that the new IWSL recognition system is a promising solution as it trades off energy and accuracy compared with existing systems.",

keywords = "complexity redaction, geodesic distance, Isolated word sign language recognition, performance analysis",

author = "Sana Fakhfakh and Jemaa, \{Yousra Ben\}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 22nd International Conference on Cyberworlds, CW 2023 ; Conference date: 03-10-2023 Through 05-10-2023",

year = "2023",

doi = "10.1109/CW58918.2023.00049",

language = "English",

series = "Proceedings - 2023 International Conference on Cyberworlds, CW 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "274--281",

editor = "Amara, \{Najoua Essoukri Ben\} and Alexei Sourin and Olga Sourina and Christophe Rosenberger",

booktitle = "Proceedings - 2023 International Conference on Cyberworlds, CW 2023",

address = "United States",

}

Fakhfakh, S & Jemaa, YB 2023, A green isolated word sign language recognition system based on geodesic metric space. in NEB Amara, A Sourin, O Sourina & C Rosenberger (eds), Proceedings - 2023 International Conference on Cyberworlds, CW 2023. Proceedings - 2023 International Conference on Cyberworlds, CW 2023, Institute of Electrical and Electronics Engineers Inc., pp. 274-281, 22nd International Conference on Cyberworlds, CW 2023, Sousse, Tunisia, 3/10/23. https://doi.org/10.1109/CW58918.2023.00049

A green isolated word sign language recognition system based on geodesic metric space. / Fakhfakh, Sana; Jemaa, Yousra Ben.
Proceedings - 2023 International Conference on Cyberworlds, CW 2023. ed. / Najoua Essoukri Ben Amara; Alexei Sourin; Olga Sourina; Christophe Rosenberger. Institute of Electrical and Electronics Engineers Inc., 2023. p. 274-281 (Proceedings - 2023 International Conference on Cyberworlds, CW 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A green isolated word sign language recognition system based on geodesic metric space

AU - Fakhfakh, Sana

AU - Jemaa, Yousra Ben

PY - 2023

Y1 - 2023

N2 - This paper presents a new isolated word sign language (IWSL) recognition strategy to attempt an ecological and friendly solution based on the deaf brain pipeline. Two major steps are proposed in this research field.The first one is based on hands shape-motion extraction and the second is based on its analysis without introducing deep learning frameworks (DLF) to carry out less data, less time execution and less carbon footprint consumption.So, we focus on developing an energy-saving system offering a green IWSL recognition system based on geodesic distance as an elastic measure while preserving the same DLF performance. Results indicate that the new IWSL recognition system is a promising solution as it trades off energy and accuracy compared with existing systems.

AB - This paper presents a new isolated word sign language (IWSL) recognition strategy to attempt an ecological and friendly solution based on the deaf brain pipeline. Two major steps are proposed in this research field.The first one is based on hands shape-motion extraction and the second is based on its analysis without introducing deep learning frameworks (DLF) to carry out less data, less time execution and less carbon footprint consumption.So, we focus on developing an energy-saving system offering a green IWSL recognition system based on geodesic distance as an elastic measure while preserving the same DLF performance. Results indicate that the new IWSL recognition system is a promising solution as it trades off energy and accuracy compared with existing systems.

KW - complexity redaction

KW - geodesic distance

KW - Isolated word sign language recognition

KW - performance analysis

UR - https://www.scopus.com/pages/publications/85181047967

U2 - 10.1109/CW58918.2023.00049

DO - 10.1109/CW58918.2023.00049

M3 - Conference contribution

AN - SCOPUS:85181047967

T3 - Proceedings - 2023 International Conference on Cyberworlds, CW 2023

SP - 274

EP - 281

BT - Proceedings - 2023 International Conference on Cyberworlds, CW 2023

A2 - Amara, Najoua Essoukri Ben

A2 - Sourin, Alexei

A2 - Sourina, Olga

A2 - Rosenberger, Christophe

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd International Conference on Cyberworlds, CW 2023

Y2 - 3 October 2023 through 5 October 2023

ER -

Fakhfakh S, Jemaa YB. A green isolated word sign language recognition system based on geodesic metric space. In Amara NEB, Sourin A, Sourina O, Rosenberger C, editors, Proceedings - 2023 International Conference on Cyberworlds, CW 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 274-281. (Proceedings - 2023 International Conference on Cyberworlds, CW 2023). doi: 10.1109/CW58918.2023.00049

A green isolated word sign language recognition system based on geodesic metric space

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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