dc.contributor.authorSoh, Yu Jie
dc.date.accessioned2016-04-25T03:20:02Z
dc.date.available2016-04-25T03:20:02Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10356/66749
dc.description.abstractGait is rhythmic and characterized by alternating propulsive and retropulsive motions of lower extremities. Gait phases include, stance phase (Heel Strike, Foot flat, Mid-stance, Heel Off, Toe Off) and swing phase (Acceleration, Mid-swing, Deceleration). The analysis of gait phases together with the gait parameters will help to understand a subject’s gait patterns and identify the abnormality while walking. Such gait assessment is usually done visually by therapists to interpret the quality of locomotion of subjects for identifying possible underlying pathologies. A good understanding of gait information could help to configure personalized rehabilitation regiment in order to prevent undesirable consequences of getting injuries from fall accidents. This project aims to provide a convenient, effective and affordable solution in performing gait assessment by patients. With the addition of infrared sensor, this project demostrates that the addition will provide in-depth, meaningful information to gait pattern analysis. Infrared sensor is an affordable sensor which can be purchased at a very low cost.en_US
dc.format.extent44 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineeringen_US
dc.titleReal-time balance assessment using multimodal sensorsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorChan Syinen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
dc.contributor.organizationA*STAR Institute for Infocomm Research (I2R)en_US


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