Fundamentals of speech recognition
Fundamentals of speech recognition
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Using Gait as a Biometric, via Phase-weighted Magnitude Spectra
AVBPA '97 Proceedings of the First International Conference on Audio- and Video-Based Biometric Person Authentication
Extended Model-Based Automatic Gait Recognition of Walking and Running
AVBPA '01 Proceedings of the Third International Conference on Audio- and Video-Based Biometric Person Authentication
Automatic extraction and description of human gait models for recognition purposes
Computer Vision and Image Understanding
Automatic gait recognition via Fourier descriptors of deformable objects
AVBPA'03 Proceedings of the 4th international conference on Audio- and video-based biometric person authentication
Movement identification analysis based on motion capture
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
Tool for creation realistic animation of human-like figures: TRAF
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
The different possibilities for gait identification based on motion capture
EUROCAST'11 Proceedings of the 13th international conference on Computer Aided Systems Theory - Volume Part II
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The paper describes possibilities of application of amplitude spectrum analysis and the Dynamic Time Warping (DTW) method in identification of a person via analysis of leg rotation signals. Human motion is a complex process and its various characteristics may be used in biometric analysis. Several papers demonstrate that information carried by motion of legs and hips may serve as valuable basis for identifying unique motion patterns of a given person. Using this information allows discovery and identification of captured human motion. Developing methods of such analysis will enable in the future efficient identification of persons from a distance. The paper presents possibilities created by applying various methods of motion analysis and suggests directions of advancing biometric identification.