Improving Reading Activity Recognition in Daily Life Situations Using DTW-Based String Matching Algorithm in EOG Signal Processing

Zargari Marandi, Ramtin; Sabzpoushan, Seyed Hojat

doi:10.22041/ijbme.2013.13123

Document Type : Technical note

Authors

¹ PhD Student, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology

² Assistant Professor, Biomedical Engineering Department, School of Electrical Engineering, Iran University of Science and Technology

10.22041/ijbme.2013.13123

Abstract

Recent research in pervasive computing field leads to use of novel techniques for human activity recognition. One of these techniques is electrooculography which helps to record eye movements and by analyzing these movements’ patterns it’s possible to recognize daily life activities like reading. Eye movement patterns during reading can be detected using only EOG signals from horizontal channel instead of both horizontal and vertical channels, so only horizontal channel electrode placement on subject’s face set up for hindrance reduction is used in this work. Despite of channels reduction and by using DTW-based string matching algorithm and reading reference template extraction using wavelet transform and encoding of EOG signal, the performance of classification between reading and non-reading data increased, As it shows 4% increase in maximum recognition rate and also low standard deviation in recognition rate in addition to 7% increase in mean of recall which demonstrate that the algorithm is more robust and reliable in comparison with previous algorithms encountering various situations and subjects.

Keywords

Main Subjects

Biomedical Signal Processing / Medical Signal Processing / Biosignal Processing

References

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Iranian Journal of Biomedical Engineering

Improving Reading Activity Recognition in Daily Life Situations Using DTW-Based String Matching Algorithm in EOG Signal Processing

References

References

Volume 6, Issue 4 - Serial Number 4
June 2012
Pages 279-285

Improving Reading Activity Recognition in Daily Life Situations Using DTW-Based String Matching Algorithm in EOG Signal Processing

References

References

Volume 6, Issue 4 - Serial Number 4June 2012Pages 279-285

Volume 6, Issue 4 - Serial Number 4
June 2012
Pages 279-285