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Manual comparison of Gait Pattern analysis in Normal and Abnormal conditions (Limping and Weight Carrying)

Author Affiliations

  • 1School of Studies in Forensic Science, Samrat Vikramaditya University, Ujjain, MP, India
  • 2School of Studies in Forensic Science, Samrat Vikramaditya University, Ujjain, MP, India
  • 3School of Studies in Forensic Science, Samrat Vikramaditya University, Ujjain, MP, India

Res. J. Forensic Sci., Volume 14, Issue (2), Pages 47-51, July,29 (2026)

Abstract

Gait evaluation is an important area of biomechanics and forensic science used to study walking patterns under different physical conditions. The gait parameters, including step duration, stride length, cadence, walking time, and overall step pattern, were manually recorded under three different walking conditions: normal walking, limping, and walking while carrying weight. A quasi experimental within subject design was used with 30 healthy female participants aged 19–26 years from Viddyottama Girls Hostel, Ujjain. Gait parameters such as step length, stride length, cadence, walking time, and total steps were measured manually. The findings showed that limping caused the greatest changes in gait, while weight carrying produced smaller effects. The study highlights manual gait evaluation as a practical and low-cost method for gait analysis.

References

  1. Whittle, M.W. (2007)., Gait Analysis: An Introduction., 4th Edition, Butterworth-Heinemann, London.
  2. Perry, J. and Burnfield, J.M. (2010)., Gait Analysis: Normal and Pathological Function., 2nd Edition, SLACK Incorporated, New Jersey.
  3. Baker, R. (2013)., Measuring Walking: A Handbook of Clinical Gait Analysis., Mac Keith Press, London.
  4. Pirker, W. and Katzenschlager, R. (2017)., Gait disorders in adults and the elderly., Wiener Klinische Wochenschrift, 129(3-4), 81-95.
  5. Neumann, D.A. (2017)., Kinesiology of the Musculoskeletal System: Foundations for Rehabilitation., 3rd Edition, Elsevier, St. Louis.
  6. O’Sullivan, S.B. and Schmitz, T.J. (2014)., Physical Rehabilitation., 6th Edition, F.A. Davis Company, Philadelphia.
  7. Rosenbaum, D., Claes, L., Gerngross, H. and Claes, H. (2000)., Effects of walking speed on plantar pressure patterns and hind foot angular motion., Gait & Posture, 11(1), 89-98.
  8. Rosenbaum, D., Claes, L., Gerngross, H. and Claes, H. (2000)., Effects of walking speed on plantar pressure patterns and hind foot angular motion., Gait & Posture, 11(1), 89-98.
  9. Simon, S.R. (2004)., Quantification of human motion: Gait analysis—Benefits and limitations to its application to clinical problems., Journal of Biomechanics, 37(12), 1869-1880.
  10. Magee, D.J. (2014)., Orthopedic Physical Assessment., 6th Edition, Elsevier, St. Louis.
  11. Nixon, M.S., Carter, J.N., Cunado, D., Huang, P.S. and Stevenage, S.V. (1999)., Automatic Gait Recognition., Springer, New York.
  12. Bouchrika, I. and Nixon, M.S. (2008)., Exploratory factor analysis of gait recognition., International Journal of Computer Vision, 78(1), 111-125.
  13. Creswell, J.W. (2014)., Research Design: Qualitative, Quantitative, and Mixed Methods Approaches., 4th Edition, Sage Publications, California.
  14. Kothari, C.R. (2004)., Research Methodology: Methods and Techniques., 2nd Edition, New Age International Publishers, New Delhi.
  15. Park, B., Kim, M., Jung, D., Kim, J. and Mun, K.R. (2025)., Smart insole-based abnormal gait identification using deep sequential networks., Digital Health, 11, 1-15.
  16. Zhang, X., Li, Y., Fang, Y., Wu, H. and Yu, L. (2026)., Effects of load carriage methods on gait variability during stair ascent., Frontiers in Bioengineering and Biotechnology, 14, 1740819.
  17. Sharma, R. and Patel, M. (2025)., Biomechanical analysis of walking patterns under physical stress conditions., Research Journal of Recent Sciences, 14(2), 45-51.
  18. Verma, R., & Patil, S. (2022)., Effect of altered walking conditions on gait parameters among healthy adults., Research Journal of Recent Sciences, 11(2), 45–50.\
  19. Sharma, P., & Gupta, N. (2021)., Biomechanical analysis of limping gait and walking efficiency., Research Journal of Biological Sciences, 10(3), 12–18.