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GMM-UBM based Person Verification using footfall signatures for Smart Home Applications

Abstract: 

In this paper, we propose a novel person verification system based on footfall signatures using Gaussian Mixture Model-Universal Background Model (GMM-UBM). Ground vibration generated by footfall of an individual is used as a biometric modality. We conduct extensive experiments to compare the proposed technique with various baselines of footfall based person verification. The system is evaluated on an indigenous dataset containing 7750 footfall events of twenty subjects. Different scenarios are created for analyzing the robustness of the system by varying the number of registered and non registered users. We obtained a Half Total Error Rate (HTER) of 7% with the proposed model and achieved an overall performance gain of ~46% and ~33% over Support Vector Machine (SVM) and Convolution Neural Network (CNN) based techniques respectively. Experimental results validate the efficacy of the proposed algorithms.

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Paper Details

Authors:
Bodhibrata Mukhpadhay, Manohar Parvatini, Subrat Kar
Submitted On:
7 November 2019 - 8:39am
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Bodhibrata Mukhopadhyay
Paper Code:
1570567921
Document Year:
2019
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Document Files

globalsip_2019.pdf

(6)

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[1] Bodhibrata Mukhpadhay, Manohar Parvatini, Subrat Kar, "GMM-UBM based Person Verification using footfall signatures for Smart Home Applications", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4923. Accessed: Nov. 11, 2019.
@article{4923-19,
url = {http://sigport.org/4923},
author = {Bodhibrata Mukhpadhay; Manohar Parvatini; Subrat Kar },
publisher = {IEEE SigPort},
title = {GMM-UBM based Person Verification using footfall signatures for Smart Home Applications},
year = {2019} }
TY - EJOUR
T1 - GMM-UBM based Person Verification using footfall signatures for Smart Home Applications
AU - Bodhibrata Mukhpadhay; Manohar Parvatini; Subrat Kar
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4923
ER -
Bodhibrata Mukhpadhay, Manohar Parvatini, Subrat Kar. (2019). GMM-UBM based Person Verification using footfall signatures for Smart Home Applications. IEEE SigPort. http://sigport.org/4923
Bodhibrata Mukhpadhay, Manohar Parvatini, Subrat Kar, 2019. GMM-UBM based Person Verification using footfall signatures for Smart Home Applications. Available at: http://sigport.org/4923.
Bodhibrata Mukhpadhay, Manohar Parvatini, Subrat Kar. (2019). "GMM-UBM based Person Verification using footfall signatures for Smart Home Applications." Web.
1. Bodhibrata Mukhpadhay, Manohar Parvatini, Subrat Kar. GMM-UBM based Person Verification using footfall signatures for Smart Home Applications [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4923