http://iaeme.com/Home/journal/IJARET 981 editor@iaeme.com International Journal of Advanced Research in Engineering and Technology (IJARET) Volume 12, Issue 1, January 2021, pp. 981-993, Article ID: IJARET_12_01_090 Available online at http://iaeme.com/Home/issue/IJARET?Volume=12&Issue=1 Journal Impact Factor (2020): 10.9475 (Calculated by GISI) www.jifactor.com ISSN Print: 0976-6480 and ISSN Online: 0976-6499 DOI 10.34218/IJARET.12.1.2021.0 : 90 © IAEME Publication Indexed Scopus AN INTELLIGENT REMOTE MONITORING FOR LOWER LIMB REHABILITATION TREATMENT USING IoT M. Veeresh Babu Research Scholar, Department of Computer Science and Engineering, FEAT, Annamalai University, Tamilnadu, India Dr. Ramya V. Associate Professor, Department of Computer Science and Engineering, FEAT, Annamalai University, Tamilnadu, India Dr. Senthil Murugan V. Principal, Sir Vishveshwaraiah Institute of Science &Technology, Chittoor, Andhra Pradesh, India ABSTRACT Diet habits and fitness play a principal role in leading a healthy lifestyle in our day to day life. The lower limb is disabled due to neural injuries like a traumatic brain, stroke, and spinal cord wounds. The number of walking disability patients and rehabilitation cost is growing to a great extent, which in turn led to developing smart health care in this discipline. Wearable devices have an immense impact on the comprehensive global health system. To enhance the rapidness of information and to enable easy access, IoT is integrated with medical devices inside a connected health environment. This paper proposes LLRD: Lower Limb Rehabilitation Device composed of MPU 6050 sensor, data pre-processing, cloud infrastructure, performance evaluation, and remote monitoring. Gyroscope sensors and 3-axial accelerometer are utilized in capturing and recording the movements related data. The recorded data is used for categorizing t movements, thereby monitoring and estimating the patients he state at all times is carried out with minimal cost and less human intervention. Results intimate that the proposed device gives highly precise and accurately monitored lower limb flexion and extension characteristics. Cloud-based service is used for rehabilitation tracking remotely. Besides, LLRD enables someone to stand, walk, and stairs smoothly. Key words: Lower limb disability, Wearable device, IoT, LLRD, MPU6050, Remote monitoring.