Gait can be defined as the way we walk. It has been proven that gait is a unique characteristic for every person, which is difficult to imitate. Gait has been studied extensively for recognition purposes and as a biometric feature in the human recognition system. Compared to other biometric features, gait offers many advantages in recognising humans, specifically identifying persons in low-resolution images, no requirement for closed interaction between the person and equipment, and image acquisition equipment. In addition, many studies in gait analysis, especially in biomedical, have been conducted to identify the differences between the gait characteristic of normal subjects versus patients under rehabilitation. The gait analysis represents the signature gait behaviour where the gait characteristics or features may be used as an early indicator of the abnormal gait. Gait acquisition techniques have been applied too as gait monitoring for diagnosis, for instance, sensor-based and video-based applications. A suitable gait method can be developed for monitoring purposes in clinical gait.
Nooritawati Md Tahir (PhD, CEng, SMIEEE) is currently the Director of Research Nexus UiTM, (ReNeU) Universiti Teknologi MARA (UiTM) and a lecturer from the College of Engineering, UiTM, Shah Alam, Selangor. She has received more than RM 8M research grant as a principal investigator as well as a collaborator. Fifteen PhD and six master's students have graduated under her supervision. Her research interest is in image processing, pattern recognition, and computational intelligence focusing on gait recognition where people are recognised based on the human attributes and gait analysis related to biomedical, specifically autism and Parkinson's disease. She has authored and co-authored more than 200 publications and has recently published a book on gait analysis.