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Paper ID:IJSREM67896

Smart Rehabilitation Monitoring System Using Wearable Sensors and Internet of Things

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM67896

Volume:

10 |

10 |

Oct 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM67896

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Sanchita Prakash Jamdhade

Sanchita Prakash Jamdhade

Electronics & Tele-Communication Engineering

JSPM's Bhivrabai Sawant Polytechnic,Wagholi,Pune

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Pranav Vijay Joshi

Pranav Vijay Joshi

Electronics & Tele-Communication Engineering

JSPM's Bhivrabai Sawant Polytechnic,Wagholi,Pune

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Vaishnavi Chandrakant Jarad

Vaishnavi Chandrakant Jarad

Electronics & Tele-Communication Engineering

JSPM's Bhivrabai Sawant Polytechnic,Wagholi,Pune

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Yogesh Ashok Kale

Yogesh Ashok Kale

Electronics & Tele-Communication Engineering

JSPM's Bhivrabai Sawant Polytechnic,Wagholi,Pune

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Mentors

Ashwini Girish Meshram

Ashwini Girish Meshram

Electronics & Tele-Communication Engineering

JSPM's Bhivrabai Sawant Polytechnic,Wagholi,Pune

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Abstract

Physical rehabilitation is an important part of recovery after injuries, surgeries, and conditions that affect body movement. Conventional rehabilitation often depends on periodic clinical assessment and manual observation of exercise performance. This paper proposes a Smart Rehabilitation Monitoring System using wearable sensors, an embedded controller, and Internet of Things (IoT) technology to support the monitoring of rehabilitation exercises. The proposed system uses motion sensors to collect movement-related data such as orientation, angular motion, and exercise repetitions. A microcontroller processes the sensor readings and transmits relevant information to a monitoring interface through wireless communication. The interface can display exercise activity, session duration, repetition count, and movement-related feedback. The system is intended to assist patients and physiotherapists in observing exercise progress, particularly during home-based rehabilitation. The proposed design focuses on affordability, portability, and remote monitoring. It is a supportive monitoring tool and is not intended to replace professional medical assessment. Prototype implementation and experimental testing are required to evaluate its measurement accuracy, reliability, and practical usefulness.

KEYWORDS

Smart Rehabilitation Wearable Sensors Internet of Things Motion Monitoring Physiotherapy Embedded System.

Cite This Article

Sanchita Prakash Jamdhade, Pranav Vijay Joshi, Vaishnavi Chandrakant Jarad, Yogesh Ashok Kale, Ashwini Girish Meshram, "Smart Rehabilitation Monitoring System Using Wearable Sensors and Internet of Things," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-7, Oct 2026. https://doi.org/10.55041/IJSREM67896

Full Article/Conclusion

The Smart Rehabilitation Monitoring System proposes an embedded and Internet of Things-based approach for monitoring selected rehabilitation exercises. The design combines a wearable motion sensor, an ESP32 controller, wireless communication, and a monitoring interface to collect, process, and display movement-related information. The proposed system aims to support the recording of exercise repetitions, session duration, and selected motion parameters. Its modular architecture provides opportunities for future improvements in sensor integration, data visualization, and remote monitoring. However, system reliability depends on correct sensor placement, calibration, and exercise-specific processing. Implementation and experimental evaluation are necessary to determine accuracy, repeatability, and usefulness. The system is intended to complement professional rehabilitation guidance rather than replace clinical assessment.

References

1.        “Sensors and Systems for Physical Rehabilitation and Health Monitoring—A Review,” Sensors, vol. 20, no. 15, article 4063, 2020. DOI: 10.3390/s20154063. Verify author list and publication metadata from the original article before submission. 2.        “Wearable Sensors and Smart Devices to Monitor Rehabilitation Parameters and Sports Performance: An Overview,” Sensors, vol. 23, no. 4, article 1856, 2023. DOI: 10.3390/s23041856. Verify author list and publication metadata from the original article before submission. 3.        J. Qi, P. Yang, A. Waraich, Z. Deng, Y. Zhao, and Y. Yang, “Examining Sensor-Based Physical Activity Recognition and Monitoring for Healthcare Using Internet of Things: A Systematic Review,” Journal of Biomedical Informatics, vol. 87, pp. 138–153, 2018. DOI: 10.1016/j.jbi.2018.09.002. 4.        J. M. Winters and P. E. Crago, Biomechanics and Neural Control of Posture and Movement. New York: Springer, 2000. 5.        R. S. H. Istepanian and B. Woodward, M-Health: Fundamentals and Applications. Hoboken, NJ: Wiley, 2017. 6.        S. Patel, H. Park, P. Bonato, L. Chan, and M. Rodgers, “A review of wearable sensors and systems with application in rehabilitation,” Journal of NeuroEngineering and Rehabilitation, vol. 9, article 21, 2012. 7.        M. J. Deen, “Information and communications technologies for e-health,” Medical Devices: Evidence and Research, vol. 6, pp. 47–57, 2013. 8.        Espressif Systems, ESP32 Series Datasheet. Available: https://www.espressif.com/ 9.        TDK InvenSense, MPU-6000 and MPU-6050 Product Specification. Available: https://invensense.tdk.com/ 10.      Arduino, Arduino Documentation. Available: https://docs.arduino.cc/

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Publication Date

10/13/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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