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Design and Development of Walking Monitoring System for Gait Analysis

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Multi-disciplinary Trends in Artificial Intelligence (MIWAI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14078))

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Abstract

Athletes, coaches and physical therapists are interested in learning how different running styles affect the muscles and forces as well as the gait cycle of runners. This paper focuses on the measurement and examination of walking patterns in people’s lower half of the human body or the leg. The stance phase and swing phase are used for the Gait Analysis. It is employed to treat patients appropriately and improve gait abnormalities. Data were collected from two different age groups of people by placing sensors on the leg and the person was asked to walk on a treadmill for 5 min. The Gyro Sensor and The MPU 6050 3-Axis Accelerometer was inturn connected to the Arduino microcontroller and were processed to get gait parameters. The result showed that the design was less costly, and the wearable sensor was used for effective analysis of patients.

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Authors and Affiliations

  1. Department of EEE, BMS College of Engineering, Bengaluru, Karnataka, India

    K. T. Krishnamurthy

  2. Department of ECE, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India

    S. Rohith & G. M. Basavaraj

  3. Department of CSE, Nagarjuna College of Engineering and Technology, Bengaluru, Karnataka, India

    S. Swathi

  4. Department of Computer Science and Engineering, REVA University, Bengaluru, India

    S. Supreeth

Authors
  1. K. T. Krishnamurthy
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  2. S. Rohith
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  3. G. M. Basavaraj
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  4. S. Swathi
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  5. S. Supreeth
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Corresponding author

Correspondence to S. Rohith .

Editor information

Editors and Affiliations

  1. CVR College of Engineering, Hyberabad, India

    Raghava Morusupalli

  2. CVR College of Engineering, Hyderabad, India

    Teja Santosh Dandibhotla

  3. CVR College of Engineering, Hyderabad, India

    Vani Vathsala Atluri

  4. Middlesex University, London, UK

    David Windridge

  5. Saint Mary's University, Halifax, NS, Canada

    Pawan Lingras

  6. CVR College of Engineering, Hyderabad, India

    Venkateswara Rao Komati

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Krishnamurthy, K.T., Rohith, S., Basavaraj, G.M., Swathi, S., Supreeth, S. (2023). Design and Development of Walking Monitoring System for Gait Analysis. In: Morusupalli, R., Dandibhotla, T.S., Atluri, V.V., Windridge, D., Lingras, P., Komati, V.R. (eds) Multi-disciplinary Trends in Artificial Intelligence. MIWAI 2023. Lecture Notes in Computer Science(), vol 14078. Springer, Cham. https://doi.org/10.1007/978-3-031-36402-0_44

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  • DOI: https://doi.org/10.1007/978-3-031-36402-0_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-36401-3

  • Online ISBN: 978-3-031-36402-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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