Inexpensive Voice Assisted Smart Eyewear for Visually Impaired Persons in Context of Bangladesh

Peyal, Md. Mahmudul Kabir; Haque, Quazi Md. Ahnaf Ul; Tahiat, Tashfia; Habib, Sadia; Noor, Al; Azad, A. K. M.

doi:10.1109/ghtc53159.2021.9612468

Cited by 1 publication

(2 citation statements)

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“…Using speech recognition API users may be able to control electrical gadgets and communicate with caregivers through a mobile app. This system is quoted for about $200 [22]. We present a comparison between the performance of the proposed system and recent similar work in Table I.…”

Section: Ralated Researchmentioning

confidence: 99%

“…It should not be overlooked that the average price of Google Glass is $1500 [19]. There are also many studies trying to reduce costs as much as possible while providing outdoor walking assistance for the blind [20]- [22]. [20]- [21] help blind people avoid obstacles by simply adding ultrasonic sensors and water sensors, and use a buzzer to remind users.…”

Section: Ralated Researchmentioning

confidence: 99%

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IBGS: A Wearable Smart System to Assist Visually Challenged

Xia

Liu

et al. 2022

IEEE Access

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Traditional blind guide devices are large and high cost. In this paper, a kind of intelligent blind guide system (IBGS) is introduced. GD32 is used as the main control chip, it cooperates with various functional modules to realize traffic light recognition, obstacle avoidance, payment, and navigation functions on the basis of speech recognition. At the same time, IBGS uses WIFI instead of Bluetooth to get rid of the dependence on smart phones. In addition, a cloud database is built, and the Internet of Things technology is used to realize the information interconnection between the IBGS, the database, and the guardian's mobile terminal. In order to better realize the function of speech recognition, this paper proposes a Conv-Transformer Transducer (ConvT-T) speech recognition framework based on Weak-Attention Suppression (WAS), which improves the efficiency of multi-head attention through WAS. The proposed method achieves word error rate (WER) of 3.2% in test-clean and 7.9% in test-other on the LibriSpeech ASR corpus with only 73M parameters, which reduces the WER by 0.3% and 0.4% compared to ConvT-T respectively, indicating that WAS can effectively play the role of suppressing non-critical attention on the ConvT-T framework. At the same time, the IBGS has been tested in a comprehensive application scenario. In outdoor traffic light recognition, speech recognition, and obstacle avoidance tests, the accuracy rates of 92.33%, 90.33%, and 96.67% were achieved respectively. The results show that the IBGS can effectively deal with various challenges encountered by the blind in their daily outdoor walking.

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Section: Ralated Researchmentioning

confidence: 99%

Section: Ralated Researchmentioning

confidence: 99%