1 Gesture Based Communication System for Vocally Impaired.

Siddiqui, Najeeb; Siddique, Ali Akbar; Farooq, Fahad; Qadri, M. Tahir

doi:10.33317/ssurj.v1i1.33

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…This is also true in the world of electronics, where various sensors can address bending measurement and identify the human hand's many Degrees-Of-Freedom (DOF) and a vast range of motion. Similar novel technology can be applied to a variety of applications, including 'SL' translation [32][33][34][35][36].…”

Section: Discussionmentioning

confidence: 99%

Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors

Khan

2022

SSURJET

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Motion sign-based language has an important role in the mute community, that is for data transmission. Usually, silent and dumb people counter very difficult situations to convey information to normal people. This paper proposes research that can ease the life of the deaf community. The work presented in this paper is a communication bridge between normal-hearing persons and persons with less hearing ability or impaired persons. The proposed research ‘Gesture–Talk’ can be used as an interpreter between any normal person and deaf and mute persons. The Gesture–Talk is based on the language used in Pakistan which is Pakistan Sign Language (PSL), which is a standard language used by deaf persons in Pakistan. Using Gesture–Talk, PSL can be translated into voice. The idea is to develop a small portable application that can be used as a middle layer application between normal and deaf people. The authors have used an electrical sensor that will collect the data by detecting electrical pulses that will be sent to the microcomputer (raspberry pi 3) where the data will be processed and sent to the speaker from which voice will be generated. A cost-effective and novel approach has been proposed in this research paper compared to the other existing approaches. Moreover, Artificial Intelligence (AI) based predictive or classification algorithms may be applied for the best optimal results.

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Section: Discussionmentioning

confidence: 99%

Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors

Khan

2022

SSURJET

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“…Determine whether the results are expected based on the customizations you specified when generating the filter Verilog code. In the next, the designed Ultra-Scale FPGA design of optimized FIR filter is tested for performance analysis [13][14][15].…”

Section: E Design Step 5: Development Of Generated Verilogmentioning

confidence: 99%

Design and Performance Analysis of Improved FIR Filter using Ultra-Scale FPGA

Das

Jamali²,

Kumar³

et al. 2022

SSURJET

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It is discussed in many studies and demonstrated in the many researches that based on certain applications, analog design of filter has several issues including complex design, re-use Limitations, and accuracy of generating the output at various frequencies. Therefore, instead of analog filter design the digital design of the filter is preferred for both Finite and Infinite Impulse Response Filter. This paper demonstrates the design of the digital FIR filter designed is demonstrated using ultrascale Field Programming Gate Array. The filter is designed using Coefficient multiplier via Canonic Signed Digit – CSD Technique. The optimized design of digital filter is carried out via real-time implementation is performed using Ultra Scale FPGA. The filter is designed and tested with ordinary filter at 10 MHz and 10 GHz frequencies. The performance analysis of the system is illustrated using the response rate at the bit stream of 16 bit. In the results, it is demonstrated that for 10 MHz frequency design FIR filter in FPGA the 30% faster response filter is achieved at for 10 GHz, the 15% faster response is achieved at the IO Standard of LVCOMS. The proposed Improved Finite Impulse Response Filter Design using Ultra Scale FPGA helps in increasing design performance to increase the speed of overall response of FIR filter that is lacking in ordinary Filters.

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1 Gesture Based Communication System for Vocally Impaired.

Cited by 2 publications

References 5 publications

Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors

Electromyography based Gesture Recognition: An Implementation of Hand Gesture Analysis Using Sensors

Design and Performance Analysis of Improved FIR Filter using Ultra-Scale FPGA

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