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INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES

Abstract: 

Construction of learning model under computational and energy constraints, particularly in highly limited training time requirement is a critical as well as unique necessity of many practical IoT applications that use time series sensor signal analytics for edge devices. Yet, majority of the state-of-the-art algorithms and solutions attempt to achieve high performance objective (like test accuracy) irrespective of the computational constraints of real-life applications. In this paper, we propose Instant Adaptive Learning that characterizes the intrinsic signal processing properties of time series sensor signals using linear adaptive filtering and derivative spectrum to efficiently construct a low-cost learning model followed by standard classification algorithms. Our empirical studies on a number of time series sensor signals from publicly available time series database (UCR) demonstrate that with slight trade-off in performance, the proposed method achieves very fast learning capability.

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Paper Details

Authors:
Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar
Submitted On:
14 May 2020 - 12:56pm
Short Link:
Type:
Presentation Slides
Event:
Presenter's Name:
Arijit Ukil
Paper Code:
3324
Document Year:
2020
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Document Files

ICASSP_2020_presentation_Arijit.pdf

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[1] Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar, "INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5318. Accessed: Sep. 22, 2020.
@article{5318-20,
url = {http://sigport.org/5318},
author = {Arpan Pal; Arijit Ukil; Trisrota Deb; Ishan Sahu; Angshul Majumdar },
publisher = {IEEE SigPort},
title = {INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES},
year = {2020} }
TY - EJOUR
T1 - INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES
AU - Arpan Pal; Arijit Ukil; Trisrota Deb; Ishan Sahu; Angshul Majumdar
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5318
ER -
Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar. (2020). INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES. IEEE SigPort. http://sigport.org/5318
Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar, 2020. INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES. Available at: http://sigport.org/5318.
Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar. (2020). "INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES." Web.
1. Arpan Pal, Arijit Ukil, Trisrota Deb, Ishan Sahu, Angshul Majumdar. INSTANT ADAPTIVE LEARNING: AN ADAPTIVE FILTER BASED FAST LEARNING MODEL CONSTRUCTION FOR SENSOR SIGNAL TIME SERIES CLASSIFICATION ON EDGE DEVICES [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5318