Title
A Comprehensive Investigation of Muscle Activations and Contractions for Behavioural Trait Detection through Human-Gait using Soft-Computing Technique
Author(s)
Dr. R. P. Dubey (Vice-Chancellor)
Document Abstract
In the present research work a thorough investigation of muscle activation and contraction has been done for the detection of behavioural traits through human-gait images. Considerable
amount of features have been extracted and relevant parameters have been computed for such investigation and a vast corpus of data sets have been developed. The data sets consist of a
features and computed parameters extracted from human-gait images of different subjects of varying ages. The data sets have been formed in different covariant modes. The covariant modes
mean capturing of human-gait images when the subject is walking with or without wearing shoes, and also the subject is walking with or without carrying loads and so on. Soft-computing
techniques and forward-backward dynamic programming method have been applied for the bestfit selection of parameters and the complete matching process. The paretic and non-paretic
characteristics have been classified through naïve baye’s classification theory. The classification and recognition has been done in parallel with both test and trained data sets and the whole
process of investigation has been successfully carried out through an algorithm developed in the present work. The success rate of behavioural trait detection is 89%.
Publisher Name
AMSE JOURNALS