Module code: ENGM260

Module Overview

The module provides students with up-to-date knowledge on the assessment of human movement with a focus on clinical gait analysis. It includes an in-depth evaluation of state-of-the-art measurement and analysis tools currently used in gait and performance management.

Module provider

Mechanical Engineering Sciences

Module Leader

OLDFIELD Matthew (Mech Eng Sci)

Number of Credits: 15

ECTS Credits: 7.5

Framework: FHEQ Level 7

Module cap (Maximum number of students): N/A

Overall student workload

Independent Learning Hours: 79

Lecture Hours: 26

Tutorial Hours: 6

Laboratory Hours: 13

Captured Content: 26

Module Availability

Semester 2

Prerequisites / Co-requisites


Module content

Indicative content includes:

  • Motor control and development of human movement skills.

  • Gait analysis; determinants of gait, the gait cycle, the main classes of measurement (e.g. spatial and temporal, kinematic, kinetic and neurophysiology).

  • Technical descriptions and review of tools used in movement analysis, for example: body-worn inertial sensors, force plates and platforms, goniometry, observational gait tools, passive/active marker detection, plantar pressure systems, in-vivo force transducers and EMG.

  • Theoretical foundations of three-dimensional kinematic and kinetic analysis of gait.

  • Gait patterns associated with pathology and the underpinning biomechanics principles of movement compensation. 

  • An overview of kinematic analysis of upper-limb motion.

  • Related topics such as methods used in sports performance analysis and injury prevention strategies.

  • Practical laboratory-based 3D gait measurement, using state of the art motion capture and kinetic measurement systems. 

  • Analysis of experimental 3D gait data using dedicated professional software.

Assessment pattern

Assessment type Unit of assessment Weighting

Alternative Assessment


Assessment Strategy

The assessment strategy is designed to provide students with the opportunity to demonstrate:

  • An understanding of the methods used in analysing movement analysis and the limitations of measurement and analysis technique. 

  • Their ability to apply their understanding of movement analysis techniques through capturing, processing and analysing movement data; and to present their findings in a clear and coherent manner. 

  • An understanding and ability to apply concepts covered during the course to clinical and/or human performance scenarios. 


Summative Feedback

All learning outcomes will be assessed in a single piece of coursework.


Formative Assessment and Feedback

Formative feedback will be provided in interactive laboratory sessions and in written format for the coursework. 

Module aims

  • An understanding of the basis of human movement, functional ability and the limitations inherent in current databases.
  • An understanding of the scope and limitations of current methods used to measure and analyse human movement
  • The skills required to be able to critically evaluate and appropriately interpret movement data in light of the limitations of the methods and relevance to the application.
  • The acquisition of first-hand practical skills in collecting, measuring and analysing movement using state of the art equipment and associated software.

Learning outcomes

Attributes Developed
001 Demonstrate a breadth of knowledge of the issues underpinning human movement analysis and gait, and their relevance to the clinic. K M1, M5, M8, M11
002 Demonstrate ability to identify and integrate relevant biomechanics concepts and fundamentals of human biology to interpret data relevant to human movement analysis. C M1, M2
003 Reflect on and critically evaluate the measurement and analysis tools used in movement analysis and their appropriateness for different applications. CP M3, M13
006 Demonstrate skills in gait analysis. P M12, M18
007 Identify technical and practical challenges and their subsequent effect on developments in the field. CP M5
008 Deal with complex issues related to human movement and make sound conclusions based on a complete movement data set and an appreciation of the limitations of current tools. KCP M1, M2, M3, M12, M13, M17
005 Independently continue to advance knowledge of the subject from the body of literature in order to tackle new and emerging problems. CT M4
004 Recognise the scope of the methods used in movement analysis beyond traditional applications in gait analysis e.g. in sports and animation. K M3, M5

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Methods of Teaching / Learning

The learning and teaching strategy is designed to:

  • Provide students with knowledge of the fundamental concepts involved in analysing movement and their application.

  • Provide students with hands-on experience in collecting, processing and analysing movement data.

The learning and teaching methods include lectures, laboratory-based practical work including hands-on processing of movement data, and independent study. 

Indicated Lecture Hours (which may also include seminars, tutorials, workshops and other contact time) are approximate and may include in-class tests where one or more of these are an assessment on the module. In-class tests are scheduled/organised separately to taught content and will be published on to student personal timetables, where they apply to taken modules, as soon as they are finalised by central administration. This will usually be after the initial publication of the teaching timetable for the relevant semester.

Reading list
Upon accessing the reading list, please search for the module using the module code: ENGM260

Programmes this module appears in

Programme Semester Classification Qualifying conditions
Biomedical Engineering MEng 2 Optional A weighted aggregate mark of 50% is required to pass the module

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2022/3 academic year.