Foot Step Based Person Identification Using Histogram Similarity and Wavelet Decomposition
ISA '08 Proceedings of the 2008 International Conference on Information Security and Assurance (isa 2008)
Human identification by gait analysis
Proceedings of the 2nd International Workshop on Systems and Networking Support for Health Care and Assisted Living Environments
Quantifying Gait Similarity: User Authentication and Real-World Challenge
ICB '09 Proceedings of the Third International Conference on Advances in Biometrics
Gait identification using cumulants of accelerometer data
SENSIG'09/VIS'09/MATERIALS'09 Proceedings of the 2nd WSEAS International Conference on Sensors, and Signals and Visualization, Imaging and Simulation and Materials Science
Improved Cycle Detection for Accelerometer Based Gait Authentication
IIH-MSP '10 Proceedings of the 2010 Sixth International Conference on Intelligent Information Hiding and Multimedia Signal Processing
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Human gait is one of the most important biometric which has so far been neglected for use in medical diagnostics. In this paper, we make a feasibility study on human gait acquired from a wearable sensor based biometric suit called as Intelligent Gait Oscillation Detector (IGOD). This suit measures simultaneous gait oscillation from eight major joints (two knees, two hips, two elbows and two shoulders) of a human body. Techniques for analyzing and understanding the human gait patterns were developed. Variance in the gait oscillation was studied with respect to gait speed varying from 3km/hr to 5km/hr. Gender variance (male/female) gait oscillation has also been studied. A comprehensive analysis on human gait affected by knee joint movement and hip joint oscillation has been addressed with the arm swing effects. This analysis will provide us with an insight on human bipedal locomotion and its stability. We plan to create a repository of human gait oscillations which could extensively be analyzed for person identification and detecting walking problems in patients, which is detection of disease in the medical field.