International Journal For Multidisciplinary Research

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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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MediGlove: A Smart Rehabilitation Glove with Gesture-Based IoT Control and Gamified Therapy

Author(s) Mr. Sathish P, Mr. Manas Kalose, Mr. Purushotham K J, Ms. Nidhi U, Dr. Prashant P Patavardhan
Country India
Abstract This paper presents the design, implementation, and validation of MediGlove, a smart rehabilitation glove that integrates gamified therapy with gesture-based Internet of Things (IoT) control to address limitations in traditional hand motor rehabilitation. The system employs a sensor fusion approach, utilizing five flex sensors for finger flexion tracking and an MPU6050 Inertial Measurement Unit (IMU) for wrist movement, all processed by an ESP32 microcontroller. The processed data enables two primary functionalities: it drives an interactive Unity-based game environment for engaging therapeutic exercises and triggers a relay module for controlling smart home appliances via predefined gestures. Experimental results demonstrate the system's efficacy, achieving high-fidelity motion tracking, real-time responsiveness with latency below 100 ms, and zero cross-interference between control zones. MediGlove provides a cost-effective, portable, and patient-centric solution that enhances motivation through gamification, offers assistive IoT control, and establishes a foundation for remote progress monitoring, demonstrating significant potential for modernizing physical therapy protocols.
Keywords Rehabilitation, Smart Glove, Gamification, Internet of Things (IoT), Sensor Fusion, ESP32, Flex Sensor, MPU6050, Unity, Gesture Control.
Field Engineering
Published In Volume 7, Issue 6, November-December 2025
Published On 2025-12-06
DOI https://doi.org/10.36948/ijfmr.2025.v07i06.62542

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