Demo Image

P10: Temporal-Spatial Gait Parameters Profiling

Project Leader

Demo Image

. Assoc. Prof Dr. Nursuriati Jamil
. Associate Professor
. Faculty of Computer & Mathematical Sciences
  Universiti Teknologi MARA (UiTM)
  Shah Alam, Selangor, 40450, Malaysia
. +603-5521 1198

Research Members

Gait is such a common and readily observable activity that involves so much of the body. In this study, temporal-spatial gait parameters of brain impaired children are studied extensively.  We are motivated by the understanding that brain impairment relates to deformation of movement, thus we proposed to construct a unique temporal-spatial gait profile for the brain impaired child in providing theraputic intervention. Earlier studies proved that characterization of movement differences is non-trivial as it may offer clues to the underlying etiology of brain impairment. The research will be conducted in six phases: theoretical studies and investigation, participant recruitment, temporal-spatial parameter identification, data collection and analysis and temporal spatial profile construction. The expected outcome is a temporal-spatial profile unique to a brain impaired child that can be embedded in a humanoid for humanoid-based intervention. The proposed profile may serve as a foundation for other study on brain impaired diseases and further explored in the management and treatment of patients.




Feature Extraction Technique for Human Gait Video Analysis
Journal of Engineering and Applied Science 12 (3): 534-541, 2017
Access to document:



Postural Control and Gait Performance in the Diabetic Peripheral Neuropathy: A Systematic Review
BioMed Research International, Volume 2016, Article ID 9305025, 14 pages
Access to document:



Gait-Based Emotion Detection of Children with Autism Spectrum Disorders: A Preliminary Investigation
2015 IEEE International Symposium on Robotics and Intelligent Sensors (IEEE IRIS2015)
Access to document:



Can spatiotemporal gait analysis identify a child with Autistic Spectrum Disorder?
Robotics and Manufacturing Automation (ROMA), 2014 IEEE International Symposium on
Access to document: