Title :
Classification of human gait features with different apparel and walking speed
Author :
Ng, Hu ; Tong, Hau-Lee ; Tan, Waai-Haw ; Abdullah, Junaidi
Author_Institution :
Fac. of Inf. Technol., Multimedia Univ., Cyberjaya, Malaysia
Abstract :
In this paper, we proposed a new approach for the classification of human gait features with different apparel and various walking speed. The approach consists of two parts: extraction of human gait features from enhanced human silhouette and classification of the extracted human gait features using fuzzy k-nearest neighbours (KNN). The joint angles together with the height, width and crotch height of the human silhouette are collected and used for gait analysis. The training and the testing sets are separable without overlapping. Both sets involve nine different apparel and three walking speed. From the experiment conducted, it can be observed that the proposed system is feasible as satisfactory results have been achieved.
Keywords :
feature extraction; fuzzy set theory; gait analysis; image classification; pattern clustering; apparel feature; feature extraction; fuzzy k-nearest neighbour; gait analysis; human gait feature; image classification; silhouette enhancement; walking speed; Humans; Variable speed drives; Fuzzy knearest neighbour; Gait analysis; Human identification;
Conference_Titel :
Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-7165-2
DOI :
10.1109/ISSPA.2010.5605583