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@article{187734,
        author = {Om Shekhar Gunjal and Heramb Padhye and Suyash Shinde and Aishwarya R. Gangajaliwale},
        title = {AI Based Patient Care Wheelchair},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {6430-6440},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=187734},
        abstract = {Smart wheelchairs are transforming the field of assistive technology by providing advanced mobility solutions and real-time health monitoring for individuals with physical impairments. Traditional wheelchairs typically lack features such as autonomous control and integrated safety systems, which are crucial for enhancing user independence and reducing the risk of accidents.
This review paper presents a comprehensive analysis of recent advancements in AI-based patient care wheelchair systems. The integration of head movement controls, fall detection, SpO2 and heartbeat monitoring, and obstacle avoidance is explored with a focus on sensor technologies such as IMUs, accelerometers, camera modules, and IoT-enabled devices.
By comparing the latest research, the paper highlights how machine learning algorithms and sensor fusion improve accuracy in health data acquisition and environmental awareness. The result is a smarter, more reliable wheelchair system that delivers timely alerts and promotes user safety.
In conclusion, the development of AI-driven frameworks in patient care wheelchairs is leading to significant improvements in mobility, safety, and quality of life for disabled and elderly users. These innovations point towards a future of intelligent, autonomous healthcare mobility solutions.},
        keywords = {Smart wheelchair, AI-based health monitoring, Patient safety, Fall detection, SpO2 monitoring, Heartbeat monitoring, Obstacle avoidance, Sensor fusion, Machine learning, IoT integration, Assistive technology, Mobility enhancement},
        month = {November},
        }