Foot sens - foot pressure monitoring systems
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2023.14.2.39Keywords:
foot pressure, LabVIEW, gait analysis, locomotion and exercisesDimensions Badge
Issue
Section
License
Copyright (c) 2023 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Foot plantar strain is the tension field that acts between the foot and the help surface during regular locomotion and exercises. Data from such strains is significant in gait analysis and posture research for diagnosing lower appendage issues, footwear configuration, sport biomechanics, injury anticipation and give important understanding on the assortment of biomechanical and neurological problems, with treatment and prevention of wounds brought about by high foot pressure. The gadget will quantify the foot tension from FSR, force sensitive resistor sensors, placed on insole of the shoe. These sensors are associated with the Arduino UNO. It decides the foot pressure dissemination in genuine time that permits us to imagine and dissect the data. A uniquely designed programming is made by utilizing LabVIEW. This method can be a real-time checking framework utilizing the pressure visualization program. The patient's details can be taken care of in and are saved in this product and when executed, the strain information gathered is changed over into advanced pattern and a pedobarography is created. This framework gives incredible achievable oversight for wellbeing observation, injury counteraction, and athlete preparing. Plantar tension estimation framework offers the clinician a serious level of convey ability, allowing use among various clinical sites.Abstract
How to Cite
Downloads
Similar Articles
- Raghvendra, Tulika Saxena, Saurabh Verma, Rashi Saxena, Smita Dron, Shilpi Singh, Combination of financial literacy, strategic marketing and effective human resource for sustainable household wealth development , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- K. Fathima, A. R. Mohamed Shanavas, TALEX: Transformer-Attention-Led EXplainable Feature Selection for Sentiment Classification , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- Vibhu Tripathi, Saifur Farooqi, Social media usage: implications for empathy, passive aggressive behavior, and impulsiveness , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Hardik N Talsania, Kirit Modi, Interpretable Cardiovascular Diagnosis using Multi-dimensional Feature Fusion and Deep Learning , The Scientific Temper: Vol. 17 No. 02 (2026): The Scientific Temper
- Ayesha Shakith, L. Arockiam, EMSMOTE: Ensemble multiclass synthetic minority oversampling technique to improve accuracy of multilingual sentiment analysis on imbalance data , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Lakshmi Priya, Anil Vasoya, C. Boopathi, Muthukumar Marappan, Evaluating dynamics, security, and performance metrics for smart manufacturing , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Sivasankar G. A, Study of hybrid fuel injectors for aircraft engines , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Boni D. Joshi, The evolution and impact of indian english poetry: A cultural and literary analysis , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- Nabab Ali, Equabal Jawaid, Spatial Insect Biodiversity and Community Analysis in Selected Rice Fields of North Bihar , The Scientific Temper: Vol. 13 No. 01 (2022): The Scientific Temper
- Manisha Pallvi, Carlson’s Trophic State Index of Shatiya Wetland in Gopalganj District of Bihar , The Scientific Temper: Vol. 12 No. 1&2 (2021): The Scientific Temper
<< < 3 4 5 6 7 8 9 10 11 12 > >>
You may also start an advanced similarity search for this article.

