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

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Publicado en:Information vol. 16, no. 9 (2025), p. 808-823
Autor principal: Rahman, Fisilmi Azizah
Otros Autores: Pusparani Ferina Ayu, Yeoh Wen Liang, Fukuda Osamu
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MDPI AG
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100 1 |a Rahman, Fisilmi Azizah 
245 1 |a Smartphone-Based Seamless Scene and Object Recognition for Visually Impaired Persons 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Visual impairment 
653 |a Cameras 
653 |a Usability 
653 |a Datasets 
653 |a People with disabilities 
653 |a Smartphones 
653 |a Applications programs 
653 |a Supermarkets 
653 |a Mobile computing 
653 |a Blindness 
653 |a Design 
653 |a Shopping 
653 |a Algorithms 
653 |a Object recognition 
653 |a Feedback 
653 |a Cognition & reasoning 
700 1 |a Pusparani Ferina Ayu 
700 1 |a Yeoh Wen Liang 
700 1 |a Fukuda Osamu 
773 0 |t Information  |g vol. 16, no. 9 (2025), p. 808-823 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
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