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.
Authors
- Md. Faruk Abdullah Al Sohan (ORCID: https://orcid.org/0000-0002-8291-7431)
- Muhammad Ejaz Ahmed (ORCID: https://orcid.org/0000-0001-8033-0998)
- Sharmin Akter (ORCID: https://orcid.org/0000-0002-4582-7365)
- Kazi Redwan (ORCID: https://orcid.org/0009-0008-0672-6263)
- Khondaker Iffti Hasan Turjo (ORCID: https://orcid.org/0009-0004-3230-767X)
- Md. Maruf Hossain Munna (ORCID: https://orcid.org/0009-0007-2914-8171)
Institutions
- American International University-Bangladesh (BD)
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