Fused features mining for depth-based hand gesture recognition to classify blind human communication (vol 28, pg 3285, 2017)

Saba Joudaki; Dzulkifli Mohamad; Tanzila Saba; Abdulaziz S. Almazyad; Amjad Rehman

doi:10.1007/s00521-017-3294-z

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Fused features mining for depth-based hand gesture recognition to classify blind human communication (vol 28, pg 3285, 2017)

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Fused features mining for depth-based hand gesture recognition to classify blind human communication (vol 28, pg 3285, 2017)

Saba Joudaki, Dzulkifli Mohamad, Tanzila Saba, Abdulaziz S. Almazyad and Amjad Rehman

Neural computing & applications, Vol.29(1), pp.307-307

01/01/2018

DOI: https://doi.org/10.1007/s00521-017-3294-z

Abstract

Computer Science

Computer Science, Artificial Intelligence

Science & Technology

Technology

In the original publication, the first author name and his affiliation were incorrectly published. The correct author name and his affiliation are as follows:.

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Title: Fused features mining for depth-based hand gesture recognition to classify blind human communication (vol 28, pg 3285, 2017)
Creators - without role: Saba Joudaki - Islamic Azad University, Tehran
Dzulkifli Mohamad - University of Technology Malaysia
Tanzila Saba - Prince Sultan University
Abdulaziz S. Almazyad - Al Yamamah University
Amjad Rehman - Al Yamamah University
Publication Details: Neural computing & applications, Vol.29(1), pp.307-307
Publisher: Springer Nature
Number of pages: 1
Identifiers: 9913913608331
Academic Unit: King Saud University; Al-Yamamah University; Prince Sultan University
Language: English
Resource Type: Journal article