ELECTRONICS & ELECTRICAL DOMAIN
Published September 12, 2023 | Version v1
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Hand Held Length Measuring System Device

Authors/Creators

  • 1. Assistant Professors, Dept. of Electronics Engineering, BVM, V.V. Nagar, Gujarat, India
  • 2. B.Tech Students, Dept. of Electronics Engineering, BVM, V.V. Nagar, Gujarat, India

Description

This is a new approach on the section of measurement. Today, most of the people use conventional measuring tape for length measurement. In this conventional method if length to be measured is larger than one extra person will be required to complete this task. Due to that there may be errors in measuring length and it take times time to check the length using tape. Main aim of this mini project is to solve these problems using a microcontroller measuring system. This will reduce the time taken for the cutting and will measure accurately. For this project Arduino Nano is used as the microcontroller for performing the algorithmic work.

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References

  • 1. Titterton, D., & Weston, J. L. (2004). Strapdown inertial navigation technology (Vol. 17). IET.
  • 2. Miyazaki, S. (1997). Long-term unrestrained measurement of stride length and walking velocity utilizing a piezoelectric gyroscope. IEEE transactions on Biomedical Engineering, 44(8), 753-759.
  • 3. Jahn, J., Batzer, U., Seitz, J., Patino-Studencka, L., & Boronat, J. G. (2010, September). Comparison and evaluation of acceleration based step length estimators for handheld devices. In 2010 International Conference on Indoor Positioning and Indoor Navigation (pp. 1-6). IEEE.
  • 4. Sun, Z. L., Mao, X. C., Tian, W. F., & Zhang, X. F. (2008). Pedestrian dead reckoning based on activity recognition and stride assessment. J. Shanghai Jiaotong Univ, 42, 2002-2005.
  • 5. Skog, I., Handel, P., Nilsson, J. O., & Rantakokko, J. (2010). Zero-velocity detection—An algorithm evaluation. IEEE transactions on biomedical engineering, 57(11), 2657-2666.
  • 6. Susi, M., Renaudin, V., & Lachapelle, G. (2013). Motion mode recognition and step detection algorithms for mobile phone users. Sensors, 13(2), 1539-1562.
  • 7. Susi, M., Renaudin, V., & Lachapelle, G. (2011, September). Quasi-static detection from MEMS handheld devices. In Proceedings of the International Conference on Indoor Positioning and Navigation (IPIN) (pp. 21-23).
  • 8. Park, J. (2008). Synthesis of natural arm swing motion in human bipedal walking. Journal of biomechanics, 41(7), 1417-1426.