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@article{199539,
        author = {Ch. Krishna Chaitanya and Manthri Poojitha and Majji Jahanavi and Kommu Sarath kumar and Sabbisetty Hemanth Kumar},
        title = {IoT-Enabled Smart Wearable for Real-Time Muscle Strain and Posture Tracking},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {12936-12940},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=199539},
        abstract = {This paper presents an IoT-based wearable system designed for real-time monitoring of human posture and muscle strain. The system uses an EMG sensor to measure muscle activity, an MPU6050 sensor to detect body movement and posture changes, and push buttons to improve posture detection accuracy. An ESP32 microcontroller collects and processes sensor data using a simple threshold-based algorithm to identify abnormal posture and excessive muscle strain. To avoid false alerts, the system checks whether the abnormal condition continues for a certain period before triggering an alert. When poor posture or high muscle strain is detected, a buzzer provides immediate warning to help the user correct it. The sensor data is also sent to the Thing Speak cloud platform for remote monitoring and analysis. The proposed system is low-cost, portable, and efficient, making it useful for healthcare monitoring, physiotherapy, workplace ergonomics, and continuous posture correction to help prevent long-term musculoskeletal problems.},
        keywords = {IoT, Wearable, EMG, MPU6050, ESP32},
        month = {April},
        }