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@article{188134,
        author = {Raghunathachar Bhoomika and Akkavva Dange and Monisha M and Pallavi Patil},
        title = {A Multifunctional Smart Footwear System Integrating Obstruction Detection, GPS Tracking, Panic Alert Messaging, and Health Monitoring with IoT-Based Environmental Data Logging},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {1324-1331},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188134},
        abstract = {This paper presents the design and development of a multifunctional smart footwear system that integrates intelligent sensing, embedded electronics, and IoT connectivity to enhance user safety, mobility, and health awareness. The system is intended to support vulnerable user groups such as the visually impaired, women, children, and the elderly, addressing challenges related to navigation, emergency response, and real- time health monitoring. The proposed footwear incorporates four key functionalities within a compact wearable platform: obstruction detection, panic alert messaging, GPS-based location tracking with environmental data logging, and vital health monitoring. Obstruction detection is achieved through sensor- based feedback and a built-in audio alert mechanism. A dedicated panic button enables automatic transmission of a “Help Me” SMS to a predefined emergency contact. The system also records GPS coordinates, along with temperature and humidity, and uploads the data to the ThingSpeak IoT cloud platform for remote monitoring. Additionally, the footwear measures the wearer’s pulse rate and body temperature, displaying real-time values on an integrated LED screen. The results demonstrate that combining smart sensors, microcontroller-based processing, and IoT communication in a wearable form factor can provide a cost-effective assistive solution capable of improving personal safety, health awareness, and independent mobility. This work contributes to the advancement of human-centred, IoT-enabled assistive technologies.},
        keywords = {Smart footwear, IoT, Obstruction detection, GPS tracking, Panic alert system, Environmental data logging, Health monitoring, Assistive device, Embedded systems.},
        month = {December},
        }