Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/75233
Title: Human gait symmetry and coordination assessment during treadmill walking using wearable ultrasonic sensors network
Authors: Ridzvan Iqbal
Keywords: DRNTU::Engineering
Issue Date: 2018
Abstract: This report investigates the effectiveness of a Wireless Network System using Ultrasonic Sensors in studying the human gait symmetry. Unscented Kalman Filter is being used to extract the gait parameters which is then validated against the results of a Motion Capture System. The system comprises of 2 sets of Mobile Nodes which consist of an ultrasonic sensor each and 2 sets of Anchor Nodes which consist of 4 ultrasonic sensors each. The Anchor Nodes’ positions are prefixed known positions. Radio Frequency modules are used to synchronise the data transmission between the Mobile Nodes and the Anchor Nodes. The results from this study will assist in understanding if the proposed Wearable Ultrasonic Sensor Network is reliable for human gait analysis.
URI: http://hdl.handle.net/10356/75233
Schools: School of Electrical and Electronic Engineering 
Rights: Nanyang Technological University
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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