Biometric Gait Identification Systems: From Spatio-Temporal Filtering to Local Patch-Based Techniques

2020 ◽  
pp. 19-37
Author(s):  
Mohammad H. Ghaeminia ◽  
Shahriar B. Shokouhi ◽  
Abdollah Amirkhani
Keyword(s):  
Temporal Filtering ◽  
Local Patch ◽  
Spatio Temporal ◽  
Gait Identification

Giant Improvement of Time-Delayed Feedback Control by Spatio-Temporal Filtering

2002 ◽  
Vol 89 (7) ◽  
Author(s):  
Nilüfer Baba ◽  
Andreas Amann ◽  
Eckehard Schöll ◽  
Wolfram Just
Keyword(s):  
Feedback Control ◽  
Delayed Feedback ◽  
Delayed Feedback Control ◽  
Temporal Filtering ◽  
Spatio Temporal ◽  
Time Delayed Feedback

Gaze-Contingent Spatio-temporal Filtering in a Head-Mounted Display

2006 ◽  
pp. 205-207 ◽  
Author(s):  
Michael Dorr ◽  
Martin Böhme ◽  
Thomas Martinetz ◽  
Erhardt Barth
Keyword(s):  
Temporal Filtering ◽  
Head Mounted Display ◽  
Spatio Temporal

Event-Related Potentials

2017 ◽  
Author(s):  
Marco Congendo ◽  
Fernando H. Lopes da Silva
Keyword(s):  
Principal Component ◽  
Event Related Potentials ◽  
Component Analysis ◽  
Statistical Testing ◽  
Time Averaging ◽  
Common Spatial Pattern ◽  
Topographic Analysis ◽  
Temporal Filtering ◽  
Related Potentials ◽  
Spatio Temporal

Event-related potentials (ERPs) can be elicited by a variety of stimuli and events in diverse conditions. This chapter covers the methodology of analyzing and quantifying ERPs in general. Basic models (additive, phase modulation and resetting, potential asymmetry) that account for the generation of ERPs are discussed. The principles and requirements of ensemble time averaging are presented, along with several univariate and multivariate methods that have been proposed to improve the averaging procedure: wavelet decomposition and denoising, spatial, temporal and spatio-temporal filtering. We emphasize basic concepts of principal component analysis, common spatial pattern, and blind source separation, including independent component analysis. We cover practical questions related to the averaging procedure: overlapping ERPs, correcting inter-sweep latency and amplitude variability, alternative averaging methods (e.g., median), and estimation of ERP onset. Some specific aspects of ERP analysis in the frequency domain are surveyed, along with topographic analysis, statistical testing, and classification methods.

Noise reduction by spatio-temporal filtering on parallel phase-shifting interferometry

2020 ◽  
Author(s):  
Nachanant Chitanont ◽  
Pannarong Thongtangsai ◽  
Dabasvee Tachatanachai ◽  
Praewa Chatsuksiridech ◽  
Fumihiko Imaeda ◽  
...  
Keyword(s):  
Noise Reduction ◽  
Phase Shifting ◽  
Temporal Filtering ◽  
Phase Shifting Interferometry ◽  
Spatio Temporal

Spatio-temporal filtering using wavelets

2002 ◽  
Vol 16 (4) ◽  
pp. 241-266 ◽  
Author(s):  
M. D. Ruiz-Medina ◽  
J. M. Angulo
Keyword(s):  
Temporal Filtering ◽  
Spatio Temporal
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