AHC5002 · Technology in human biomechanical analysis

Overview

This unit aims to provide an advanced level of understanding of human movement from a biomechanical perspective. You will learn about technologies used in human movement analyses and apply them in various scenarios. You will conduct complex human movement pattern analyses using motion capture, force and pressure systems. You will consider the use of emerging technologies such as phone apps, wearable devices and mixed reality, in the context of designing management strategies and rehabilitative devices. You will also explore data governance, ethics and regulatory standards. Through collaborative interdisciplinary case-based discussions, and hands-on practical work, you will gain skills to evaluate human movement, and apply it in clinical rehabilitation and design of medical assistive devices.

Offerings

Assessment

The Handbook does not list a final examination among the assessment items. That is not a guarantee there is none.

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Requisites

The Handbook lists no prerequisite, corequisite or prohibition for this unit.

Learning outcomes

1. Evaluate biomechanical principles to critically analyse human movement, posture, and performance in diverse contexts;
2. Compare and contrast complex human movement patterns across different conditions using advanced motion capture, force and pressure measurement equipment;
3. Assess, interpret and use biomechanical data to inform management strategies for complex pathological cases;
4. Develop and implement data governance policies, including data management plans in clinical and research settings;
5. Critique emerging technologies and their ethical and legal implications in person-centred care.

Workload

The average time required for the dedicated contact hours and private study hours is equivalent to 12 hours per week during a regular semester. There will be on average 6 hours of teacher directed learning and 6 hours of self-directed learning per week. 6 hours of teacher directed learning includes 2 hours of online teacher directed asynchronous lectures, 1 hour of on campus skills based tutorial, and 3 hours of on campus practical sessions. 6 hours per week of self-directed study will include own-time pre-readings and preparation for tutorial activities, post-practical session report generation, and completing assessment tasks.

Student experience, not official rules. Nothing here changes what the Handbook says.