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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM25086

Walker Integrated with IOT Based Fall Detection, Emergency Response System with Haptic Feedback System for Muscle Relief

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM25086

Volume:

7 |

8 |

Aug 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

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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

MG

Madhumitha G

LT

Latha Tharshini

NK

Nivetha K

NL

Nithiya Lakshmi

BS

B.Rengammal Sankari

S

Sujatha

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Abstract

In the last decade, the clinical reasoning in physical therapy has been to develop systems for physiotherapists to make clinical decisions rapidly, effectively and efficiently, in response to the increasingly complex needs of health and rehabilitation units. Some studies show the importance of walking aids during rehabilitation from some diseases, and after surgery for arthroplasty in the elderly population, and elderly patients with balance disorders, muscle weakness. Walkers are important devices that aid the rehabilitation process. The use of a walker is recommended for gait changes and imbalance due to various factors, such as surgery of the lower limbs or neurodegenerative changes, especially in the early recovery period. In this project we design a solution for the patient using walkers, this device helps them to maintain the proper balance. The system’s foundation lies in a network of strategically placed sensors, including gyroscopes, accelerometers, and pressure sensors, meticulously capturing data on the user’s body posture and gait patterns. Employing advanced algorithms, the gathered data is processed and analyzed in real-time to evaluate the user’s alignment and identify any deviations from the ideal posture. Furthermore, the system facilitates seamless data recording and analysis, enabling healthcare professionals and physiotherapists to access valuable insights on the user’s progress and performance. The accumulated data assists in developing personalized rehabilitation plans and tracking the user’s improvements over time.

KEYWORDS

Microcontroller LCD Movement Detection Accelerometer sensor ultrasonic sensor GSM GPS.

Cite This Article

Madhumitha G, Latha Tharshini, Nivetha K, Nithiya Lakshmi, B.Rengammal Sankari, Sujatha, "Walker Integrated with IOT Based Fall Detection, Emergency Response System with Haptic Feedback System for Muscle Relief," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 8, Aug 2023. https://doi.org/10.55041/IJSREM25086

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Publication Date

5/7/2023

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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