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A Novel Approach to Wearable Image Recognition Systems to Aid Visually Impaired People

School of Instrument and Electronics, North University of China, Tai Yuan 030051, China
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Appl. Sci. 2019, 9(16), 3350; https://doi.org/10.3390/app9163350
Received: 21 July 2019 / Revised: 7 August 2019 / Accepted: 13 August 2019 / Published: 15 August 2019
Action and identification problems are the challenges that visually impaired people often encounter in their lives. The high price of existing commercial intelligent auxiliary equipment has placed enormous economic pressure on most visually impaired people in developing countries. In order to solve this problem, this paper proposes a smart wearable system that performs image recognition. The system adopts the method of cloud and local cooperative processing. The cloud server mainly performs image processing, while the local unit only uploads images and feedback results. Therefore, the processor of the system does not need to use expensive high-performance hardware, and the cost is greatly reduced. Moreover, the algorithm running on the cloud server can also guarantee the speed and accuracy of recognition. In addition, we have changed the traditional video continuous scanning strategy to a mechanism for capturing points of interest, reducing power consumption. The attitude correction mechanism based on error codes of the system can effectively help the visually impaired to cope with the common living scenes, and the multiple priority feedbacks and arbitration mechanism will ensure real-time feedback of the system. The proposed smart wearable device has been tested in the actual scene, which proves to be helpful to the visually impaired people. It helps them find the right people and objects and read text. View Full-Text
Keywords: assistive technology; object recognition; cloud server; visually impaired people; wearable device assistive technology; object recognition; cloud server; visually impaired people; wearable device
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Chen, S.; Yao, D.; Cao, H.; Shen, C. A Novel Approach to Wearable Image Recognition Systems to Aid Visually Impaired People. Appl. Sci. 2019, 9, 3350.

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