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

সংরক্ষণ করুন:

গ্রন্থ-পঞ্জীর বিবরন
প্রকাশিত:	Information vol. 16, no. 9 (2025), p. 808-823
প্রধান লেখক:	Rahman, Fisilmi Azizah
অন্যান্য লেখক:	Pusparani Ferina Ayu, Yeoh Wen Liang, Fukuda Osamu
প্রকাশিত:	MDPI AG
বিষয়গুলি:	Visual impairment Cameras Usability Datasets People with disabilities Smartphones Applications programs Supermarkets Mobile computing Blindness Design Shopping Algorithms Object recognition Feedback Cognition & reasoning
অনলাইন ব্যবহার করুন:	Citation/Abstract Full Text + Graphics Full Text - PDF
ট্যাগগুলো:	ট্যাগ যুক্ত করুন কোনো ট্যাগ নেই, প্রথমজন হিসাবে ট্যাগ করুন!

বিবরন
সার সংক্ষেপ:	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.
আইএসএসএন:	2078-2489
ডিওআই:	10.3390/info16090808
সম্পদ:	Advanced Technologies & Aerospace Database