Smart IoT-Driven Shopping Assistance System for Cognitive Impairment Patients: Ensuring Safe and Independent Shopping Experiences

Cognitive impairment patients face challenges in managing daily tasks due to memory and cognitive issues. IoT solutions play a crucial role in helping them navigate complex environments such as retail settings, promoting both autonomy and security. This research paper presents an IoT-Driven Smart Shopping Assistance System designed to improve the shopping experience for individuals with cognitive impairments. The system features a wearable IoT device equipped with RFID-based product identification for accurate item recognition, GPS for live tracking of the patient's location, and a secure NFC payment system using two-factor authentication (2FA) with a password and facial recognition. By integrating ‘Smart-Cart’ technology, the device displays items from a caregiver-managed database as the patient approaches them, providing real-time, location-based shopping assistance. The NFC payment system enforces a spending limit, requiring caregiver approval for larger purchases to prevent financial mishandling. Additionally, Bluetooth Low Energy (BLE) ensures continuous connectivity, enabling caregivers to receive real-time alerts in case of confusion or emergencies such falls. This comprehensive system empowers patients to shop independently while maintaining their safety, making it a scalable and adaptable solution for various retail environments.

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Publication Details

Published
2024-12-11
DOI
https://doi.org/10.1109/icced64257.2024.10983645
Citations
1
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
0.44
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article

Smart IoT-Driven Shopping Assistance System for Cognitive Impairment Patients: Ensuring Safe and Independent Shopping Experiences

Md. Faruk Abdullah Al Sohan, Muhammad Ejaz Ahmed, Sharmin Akter, Kazi Redwan et al.
1 citations
Consumer Retail Behavior Studies
0.44
article

Smart IoT-Driven Shopping Assistance System for Cognitive Impairment Patients: Ensuring Safe and Independent Shopping Experiences

Md. Faruk Abdullah Al Sohan, Muhammad Ejaz Ahmed, Sharmin Akter, Kazi Redwan, Khondaker Iffti Hasan Turjo, Md. Maruf Hossain Munna
article en
1 citations

Abstract

Cognitive impairment patients face challenges in managing daily tasks due to memory and cognitive issues. IoT solutions play a crucial role in helping them navigate complex environments such as retail settings, promoting both autonomy and security. This research paper presents an IoT-Driven Smart Shopping Assistance System designed to improve the shopping experience for individuals with cognitive impairments. The system features a wearable IoT device equipped with RFID-based product identification for accurate item recognition, GPS for live tracking of the patient's location, and a secure NFC payment system using two-factor authentication (2FA) with a password and facial recognition. By integrating ‘Smart-Cart’ technology, the device displays items from a caregiver-managed database as the patient approaches them, providing real-time, location-based shopping assistance. The NFC payment system enforces a spending limit, requiring caregiver approval for larger purchases to prevent financial mishandling. Additionally, Bluetooth Low Energy (BLE) ensures continuous connectivity, enabling caregivers to receive real-time alerts in case of confusion or emergencies such falls. This comprehensive system empowers patients to shop independently while maintaining their safety, making it a scalable and adaptable solution for various retail environments.

American International University-Bangladesh (BD)
Openalex Percentile: Top 23%
Consumer Retail Behavior Studies
0.44
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Smart IoT-Driven Shopping Assistance System for Cognitive Impairment Patients: Ensuring Safe and Independent Shopping Experiences — Md. Faruk Abdullah Al Sohan, Muhammad Ejaz Ahmed, et al. · (2024) | TGRS Research Map | TGRS