VelGmat: Low Cost Gait Mat For Stance Phase Calculation

Mohammad Waqas Wani; Y. Pawankumar Gururaj; P. Vivek; Sai Anirudh Karre; Raghu Reddy; Syed Azeemuddin

doi:10.1109/SENSORS52175.2022.9967332

VelGmat: Low Cost Gait Mat For Stance Phase Calculation

Mohammad Waqas Wani, Y. Pawankumar Gururaj, P. Vivek, Sai Anirudh Karre, Raghu Reddy, Syed Azeemuddin

School of Engineering (Behrend)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

Material science enables us to develop a wide array of materials capable enough to address worldly problems. Velostat is a carbon-impregnated polythene material used to address many problems including gait-related problems. This paper presents a novel approach to analyze a gait-cycle parameter called 'Stance-phase.' We ideated, designed, and implemented a low-cost customizable Velostat based sensing mat to calculate the stance phase. We validated our VelGmat using sensor density, sensitivity, process time, and hardware performance metrics. Our validation results helped us improve the effectiveness of gait analysis. We conducted a comparative study between our VelGmat and commercially available mat to understand the contrast in stance phase values. We observed 95% accuracy in stance phase values compared with commercially available mat.

Original language	English (US)
Title of host publication	2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781665484640
DOIs	https://doi.org/10.1109/SENSORS52175.2022.9967332
State	Published - 2022
Event	2022 IEEE Sensors Conference, SENSORS 2022 - Dallas, United States Duration: Oct 30 2022 → Nov 2 2022

Publication series

Name	Proceedings of IEEE Sensors
Volume	2022-October
ISSN (Print)	1930-0395
ISSN (Electronic)	2168-9229

Conference

Conference	2022 IEEE Sensors Conference, SENSORS 2022
Country/Territory	United States
City	Dallas
Period	10/30/22 → 11/2/22

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

Access to Document

10.1109/SENSORS52175.2022.9967332

Cite this

@inproceedings{16c171470f5a441e8fd1e1784af690b5,

title = "VelGmat: Low Cost Gait Mat For Stance Phase Calculation",

abstract = "Material science enables us to develop a wide array of materials capable enough to address worldly problems. Velostat is a carbon-impregnated polythene material used to address many problems including gait-related problems. This paper presents a novel approach to analyze a gait-cycle parameter called 'Stance-phase.' We ideated, designed, and implemented a low-cost customizable Velostat based sensing mat to calculate the stance phase. We validated our VelGmat using sensor density, sensitivity, process time, and hardware performance metrics. Our validation results helped us improve the effectiveness of gait analysis. We conducted a comparative study between our VelGmat and commercially available mat to understand the contrast in stance phase values. We observed 95% accuracy in stance phase values compared with commercially available mat.",

author = "Wani, {Mohammad Waqas} and Gururaj, {Y. Pawankumar} and P. Vivek and Karre, {Sai Anirudh} and Raghu Reddy and Syed Azeemuddin",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Sensors Conference, SENSORS 2022 ; Conference date: 30-10-2022 Through 02-11-2022",

year = "2022",

doi = "10.1109/SENSORS52175.2022.9967332",

language = "English (US)",

series = "Proceedings of IEEE Sensors",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings",

address = "United States",

}

Wani, MW, Gururaj, YP, Vivek, P, Karre, SA, Reddy, R & Azeemuddin, S 2022, VelGmat: Low Cost Gait Mat For Stance Phase Calculation. in 2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings. Proceedings of IEEE Sensors, vol. 2022-October, Institute of Electrical and Electronics Engineers Inc., 2022 IEEE Sensors Conference, SENSORS 2022, Dallas, United States, 10/30/22. https://doi.org/10.1109/SENSORS52175.2022.9967332

VelGmat: Low Cost Gait Mat For Stance Phase Calculation. / Wani, Mohammad Waqas; Gururaj, Y. Pawankumar; Vivek, P. et al.
2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (Proceedings of IEEE Sensors; Vol. 2022-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - VelGmat

T2 - 2022 IEEE Sensors Conference, SENSORS 2022

AU - Wani, Mohammad Waqas

AU - Gururaj, Y. Pawankumar

AU - Vivek, P.

AU - Karre, Sai Anirudh

AU - Reddy, Raghu

AU - Azeemuddin, Syed

PY - 2022

Y1 - 2022

N2 - Material science enables us to develop a wide array of materials capable enough to address worldly problems. Velostat is a carbon-impregnated polythene material used to address many problems including gait-related problems. This paper presents a novel approach to analyze a gait-cycle parameter called 'Stance-phase.' We ideated, designed, and implemented a low-cost customizable Velostat based sensing mat to calculate the stance phase. We validated our VelGmat using sensor density, sensitivity, process time, and hardware performance metrics. Our validation results helped us improve the effectiveness of gait analysis. We conducted a comparative study between our VelGmat and commercially available mat to understand the contrast in stance phase values. We observed 95% accuracy in stance phase values compared with commercially available mat.

AB - Material science enables us to develop a wide array of materials capable enough to address worldly problems. Velostat is a carbon-impregnated polythene material used to address many problems including gait-related problems. This paper presents a novel approach to analyze a gait-cycle parameter called 'Stance-phase.' We ideated, designed, and implemented a low-cost customizable Velostat based sensing mat to calculate the stance phase. We validated our VelGmat using sensor density, sensitivity, process time, and hardware performance metrics. Our validation results helped us improve the effectiveness of gait analysis. We conducted a comparative study between our VelGmat and commercially available mat to understand the contrast in stance phase values. We observed 95% accuracy in stance phase values compared with commercially available mat.

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M3 - Conference contribution

AN - SCOPUS:85144007679

T3 - Proceedings of IEEE Sensors

BT - 2022 IEEE Sensors, SENSORS 2022 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 30 October 2022 through 2 November 2022

ER -

VelGmat: Low Cost Gait Mat For Stance Phase Calculation

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