01whole.pdf (9.02 MB)
Download file

Hearing of robots

Download (9.02 MB)
thesis
posted on 28.03.2022, 15:22 authored by Daniel Cunha
MEMS sensors have been applied to a range of biological applications. The key benefits of MEMS sensors are low intrusiveness, low power consumption and depth of applications due to their size. The vestibular system is a complex system responsible for controlling spatial orientation, head tilt and movement. This system is difficult to access due to its size and location in the head. As such, there exist a number of diseases associated with the vestibular system that are not fully understood. This thesis looks to contribute to the development of a biomimetic flow sensor capable of replicating the function of the cilia in the semicircular canals. A functioning sensor contributes towards work on a vestibular prosthesis and facilitates studies of the response of the vestibular system to different stimuli. This thesis develops further the model of the semicircular canal, with ampule and cupula through both the collection of physical data and simulation. This thesis develops a suitable simulation and model of a single semicircular, lateral semicircular canal and determines the response of the system to a rotational input. The gain and time constants of the system were found to fall within acceptable theoretical and biological models, however, the system lacks a definitive method for sensing directionality which were found to be key differences between the biological cupula and the biomimetic LCP flow sensor.

History

Table of Contents

1. Introduction -- 2. Background -- 3. Design for testing system -- 4. Results -- 5. Discussion -- 6. Conclusion -- 7. Abbreviations -- Appendix -- Bibliography.

Notes

Bibliography: pages 47-48 Empirical thesis.

Awarding Institution

Macquarie University

Degree Type

Thesis bachelor honours

Degree

BSc (Hons), Macquarie University, Faculty of Science and Engineering, School of Engineering

Department, Centre or School

School of Engineering

Year of Award

2017

Principal Supervisor

Mohsen Asadnia

Rights

Copyright Daniel Cunha 2017. Copyright disclaimer: http://mq.edu.au/library/copyright

Language

English

Extent

1 online resource (xiii, 48 pages illustrations (some colour))

Former Identifiers

mq:70432 http://hdl.handle.net/1959.14/1263702

Usage metrics

Keywords

Exports