Smartphone-Based Seamless Scene and Object Recognition for Visually Impaired Persons

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書目詳細資料
發表在:	Information vol. 16, no. 9 (2025), p. 808-823
主要作者:	Rahman, Fisilmi Azizah
其他作者:	Pusparani Ferina Ayu, Yeoh Wen Liang, Fukuda Osamu
出版:	MDPI AG
主題:	Visual impairment Cameras Usability Datasets People with disabilities Smartphones Applications programs Supermarkets Mobile computing Blindness Design Shopping Algorithms Object recognition Feedback Cognition & reasoning
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實物特徵
Resumen:	This study introduces a mobile application designed to assist visually impaired persons (VIPs) in navigating complex environments, such as supermarkets. Recent assistive tools often identify objects in isolation without providing contextual awareness. In contrast, our proposed system uses seamless scene and object recognition to help users efficiently locate target items and understand their surroundings. Employing a “human-in-the-loop approach”, users control their smartphone camera direction to explore the space. Experiments conducted in a simulated shopping environment show that the system enhances object-finding efficiency and improves user orientation. This approach not only increases independence, but also promotes inclusivity by enabling VIPs to perform everyday tasks with greater confidence and autonomy.
ISSN:	2078-2489
DOI:	10.3390/info16090808
Fuente:	Advanced Technologies & Aerospace Database