Faculty of Engineering

Undergraduate - Unit

This unit entry is for students who completed this unit in 2014 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

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6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

FacultyFaculty of Engineering
Organisational UnitDepartment of Electrical and Computer Systems Engineering
OfferedNot offered in 2014
Coordinator(s)A Senanayake (M'sia)


Studies from earlier stages of the course are integrated in such a way that students will gain knowledge and skills in the development of movement analysis system. Fundamental devices of bio-electronic devices and phases involved in product development are covered. Bioinstrumentation for measurements of key parameters involved in the use of bio-interfacing devices is addressed based on virtual technologies. Basic elements required for bio-interfacing devices in movement analysis, sensors and vision are considered. In order to downolad acquired data/signals from sensors and vision, specific Data Acquisition (DAQ) methods will be analysed and tested. Students will be taught synchronisation of signals and data as the critical issue. Based on synchronized data signals, movement model reconstruction will be essential in order to understand the motion. Finally, motion regeneration will be created based on the movement data measured and preprocessed.


After completion of this unit, students should be able to:

  1. develop prototypes of real time systems for movement analysis
  2. utilise bio-interfacing devices, bio-instrumentation and virtual technologies
  3. incorporate varieties of wired and wireless sensors and different vision technologies, video and optical as fundamental elements for movement analysis
  4. construct bio-interfacing devices using the integration of DAQ modules together with virtual technologies as measurement tools
  5. extract preproprocessed data and signals using interactive Graphical User Interfacing (IGUI) programming to reconstruct movement models
  6. understand the key features and phases involved in motion regeneeration development, testing and simulation in order to represent accurate movement in soft-real time


Assignments: 30%
Tutorial work: 10%
Examination (3 hours): 60%

Chief examiner(s)

Workload requirements

Lectures: 2 hours per week

  • Laboratory: 3 hours per week
  • Practice class: 1 hour per week


TRC2400 or ECE2071 or MEC2407 and 96 credit points and all first level units completed